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A selection of jobs from the previous newsleterrs.

Property Claim Professionals is hiring a Remote Claims Processor / Data Entry Specialist

Claims Processor / Data Entry Specialist - Property Claim Professionals - Career Page

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Balsam Brands is hiring a Remote Junior Web Data Analyst - Manila, PH

Job Description

As the Junior Web Data Analyst of our digital analytics realm, you will be responsible for the maintenance and day-to-day operations of our analytics tools, supporting deep dives with specific online marketing requests, developing of new insightful reports, collecting, processing, interpretation and analyzing data, as well as resolving issues affecting the process of data analysis. 

What you'll be doing:

Analytics Reporting

  • Analyzes and monitors website performance and support Data Insights to make better business decisions and deliver the highest level of customer experience.
  • Collects, interprets, and analyzes product sales data to find opportunities and help improve web merchandising and product assortment. 
  • Develops and maintains dashboards, reports, and presentations to key stakeholders in an accurate and timely manner. 
  • Supports other functions through Ad Hoc analysis. 

Tools Development and Maintenance

  • Manages and maintains some basic analytics tools, including Google Analytics, PowerBI, and Excel models.

Internal Systems and Processes

  • Accountable for specific short-term projects and areas of responsibility. Ensure high-quality results are delivered.
  • Maintains and suggests improvements to various analytics systems and processes.
  • Supports the team in the documentation of systems and processes. 

Career Development

  • Adapts, develops, and expands skills as new and advanced solutions are introduced.
  • Supports new team members.

Performs other duties that maybe assigned from time to time

What we're looking for:

  • Bachelor’s Degree in Mathematics, Statistics, Economics, Business Administration, Accounting, or any other related quantitative course
  • Minimum of 1-2 years relevant experience in performing maintenance and day-to-day operations of analytics tools, for supporting deep dives with specific online marketing requests, and development of new insightful reports.
  • Must be adept in collecting, processing, interpretation, and analysis of data, as well as in resolving issues affecting the process of data analysis.
  • Experience using Google Analytics or Power BI and general understanding of the Ecommerce Retail environment. 
  • Proficiency in Office 365 stack (Excel, SharePoint). 
  • SQL, Big Query, RegEx or Python skills are a plus. 

Location: The Junior Web Data Analyst position is a work-from-home position for Balsam International Unlimited Philippine ROHQ in Manila. Team members in the Philippines are located within Metro Manila, Bataan, Batangas, Bulacan, Cavite, Laguna, Pampanga, Rizal, and Tarlac areas only.

Our must-haves:

  • Must be open to joining some face-to-face gatherings, like our monthly functional meetings and quarterly teamwide events.
  • Must have a back-up laptop or desktop for use, if primary laptop encounters issues.
  • Must have a fast, reliable DSL, Fiber or Broadband connection (not mobile or broadband stick) as the primary internet connection with a minimum actual speed of 10MBPS.
  • Must have a back-up internet connection of the same speed, if primary connection becomes spotty.

Status: This is a full-time, permanent position with benefits.

Hardware Provision: Company-issued Laptop will be provided on first day.

At Balsam International, we strive to offer a competitive compensation and benefits package. For permanent, full-time team members, this includes:

  • Government-mandated Benefits (SSS, PAG-IBIG, PhilHealth)
  • 13th Month Pay
  • Paid Leaves. We use time off to rest, go on vacation, or just sleep in! Our paid time off is flexible to our needs.
  • Internet Subsidy. With internet allowance, we are set up for success.
  • Healthcare Coverage (+ 2 dependents). We worry less about rising medical costs with flexible quality healthcare benefits.
  • Maternity, Paternity, and Solo Parent Benefit. We make sure parents are supported while they navigate work and family life.
  • Continuous Learning and Professional Development Benefit. Our professional and personal development are fully supported. Whether it be online courses, workshops or books!
  • Mental Health Support. We manage work and life's challenges through Mental Health Day breaks, 24/7 professional counselling, and curated webinars.
  • Company Incentive. An additional cash-based perk for all our Brandits based on company's performance.
  • Meeting & Team Building Allowance. Happy tummies make our meetings more fun and productive!
  • Shutdown Week. We can spend more time on things that matter with an additional one week paid time off on top of paid leaves.
  • Volunteer Time Off. With two paid days off, we are able to volunteer for advocacies we believe in.
  • Bereavement Leave. We get additional paid leaves when a loved one passes to grieve and provide immediate support to our families.

Qualifications

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Parsley Health is hiring a Remote Data Manager

About us:

Parsley Health is a digital health company with a mission to transform the health of everyone, everywhere with the world's best possible medicine. Today, Parsley Health is the nation's largest health care company helping people suffering from chronic conditions find relief with root cause resolution medicine. Our work is inspired by our members’ journeys and our actions are focused on impact and results.

The opportunity:

We’re hiring an experienced Manager of Data to drive the data strategy for Parsley Health: by championing quality data across the organization and leading functions for data science and analytics along with data engineering.

This person should have knowledge of the healthcare space, specifically related to health outcomes and benchmarks and will report into the Chief Technology Officer.

What you’ll do:

  • Passionate about our mission to live healthier through revolutionary primary care, excited for the future of healthcare, and a personal belief in wellness.
  • Collaborate on strategic direction with the leadership team and executives to evolve our mid and long term roadmap
  • Hands-on manager who will write code and has experience in a variety of different systems and architecture, analysis, and presentation. 
  • Support identifying clinical outcomes and publishing papers with the clinical team and SVP of Clinical Operations.
  • Empower high quality product decisions through data analysis.
  • Develop machine learning models to better assist our members’ health care needs.
  • Foster a strong culture of data-driven decision making through training and mentorship within your team and across the company.
  • Implement and maintain a world-class data stack that empowers data consumers with reliable, accessible, compliant insights.
  • Consult with data consumers to improve their measurement strategies.
  • Manage a team of two members and grow it to a multi disciplinary function within a few years. 

What you’ll need:

  • Experience in building a data strategy for a small team or company. Potentially previously the first data hire at a company (not required). 
  • Proficient in statistical methods.
  • Loves to deep dive into problems and solutioning to identify root causes and be able to extrapolate a big picture strategy or story. 
  • Helps people with their careers while creating and improving upon structures to enable career growth 
  • Sets up processes and governance around project management, data quality, prioritization, etc.
  • Well versed in SQL, at least one scripting language (R, Python, etc.), Excel, and BI platforms (Looker, Tableau, etc.).

Tech stack

  • Python
  • GCP
  • Airflow
  • SQL
  • Looker
  • Dataform (dbt)

Benefits and Compensation:

  • Equity Stake
  • 401(k) + Employer Matching program
  • Remote-first with the option to work from one of our centers in NYC or LA 
  • Complimentary Parsley Health Complete Care membership
  • Subsidized Medical, Dental, and Vision insurance plan options
  • Generous 4+ weeks of paid time off
  • Annual professional development stipend

Parsley Health is committed to providing an equitable, fair and transparent compensation program for all employees.

The starting salary for this role is between $165,750 - $195,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with candidates during the process.


At Parsley Health we believe in celebrating everything that makes us human and are proud to be an equal opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. 


Important note:

In light of recent increase in hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an@parsleyhealth.comemail address to guide you through our interview process. 

    Please note: 

  • We will never communicate with you via Microsoft Teams
  • We will never ask for your bank account information at any point during the recruitment process, nor will we send you a check (electronic or physical) to purchase home office equipment

We look forward to connecting!

#LI-Remote

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In All Media Inc is hiring a Remote Data Scientist EMEA

Data Scientist

In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results.

Our Client

A global online job search platform that simplifies job hunting and employer connections. It offers diverse job opportunities and advanced search tools, revolutionizing how people find employment worldwide. Additionally, it provides labor market data and analysis.

Technical Skills:

❖ R Language
❖ Experience with Quarto
❖ Statistics knowledge
❖ Experience with economics and financial industries

Nice to Have:

❖ Machine learning

❖ Python

★ 100%remote work.
★ Payments made from the US.
★ Internationalteams.
★ Exciting projects; all our clients are top-notch US-based companies.

★ Hourly rates in US dollars.
★ Full-time and long-term projects.
★ Contract as a vendor.

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In All Media Inc is hiring a Remote Product Data Analyst - EMEA

Product Data Analyst

In All Media
In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results.

The Challenge

As a Product Data Scientist, you will play a pivotal role in driving data-driven decision-making processes, optimizing product performance, and identifying growth opportunities within the advertising domain. Leveraging your expertise in data analysis, statistical modeling, and business acumen, you will collaborate closely with cross-functional teams to define product success metrics, conduct product experimentation through A/B testing, perform opportunity analysis, and develop predictive models to forecast future trends and understand customer behaviors.

Requirements

  • Define Metrics for Product Success: Collaborate with stakeholders to establish clear, measurable goals related to user engagement, revenue, customer satisfaction, and other key performance indicators (KPIs) relevant to the product.
  • Conduct Product Experimentation - AB Testing: Design, implement, and analyze A/B tests to empirically test hypotheses about product changes and their impact on user behavior.
  • Perform Opportunity Analysis: Utilize data to identify areas for product improvement or innovation, translating insights into actionable product features or changes in close collaboration with product managers.
  • Statistical Modeling: Develop predictive models to forecast future trends, understand customer behavior, and optimize product features and user experience.

Skills and Qualifications:

  • Dashboard Creation to Executive Presentation: Ability to visualize data, create informative dashboards, and present findings to stakeholders, including executive teams, to bridge the gap between data analysis and business strategy.
  • Domain Knowledge in the Ad Space: Specific expertise in the advertising industry, including knowledge of ad metrics, user acquisition costs, click-through rates, conversion rates, and other industry-specific KPIs.
  • Tools Proficiency: Experience with tools such as R, Python, Optimizely, Google Optimize, Google Analytics, Tableau, PowerBI, Looker, and SQL for data analysis, statistical modeling, and data visualization.
  • Bachelor's or Master's degree in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or related disciplines.
  • Proven experience in data analysis, statistical modeling, and product experimentation within the advertising domain.
  • Strong communication skills with the ability to translate complex data insights into actionable recommendations for cross-functional teams.
  • Business acumen and understanding of market dynamics to identify growth opportunities effectively.

Benefits

  • 100% remote work.
  • Payments made from the US.
  • International teams.
  • Exciting projects; all our clients are top-notch US-based companies.
  • Hourly rates in US dollars.
  • Full-time and long-term projects.
  • Contract as a vendor.

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In All Media Inc is hiring a Remote Product Data Analyst

Product Data Analyst

In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results.

The Challenge

As a Product Data Scientist, you will play a pivotal role in driving data-driven decision-making processes, optimizing product performance, and identifying growth opportunities within the advertising domain. Leveraging your expertise in data analysis, statistical modeling, and business acumen, you will collaborate closely with cross-functional teams to define product success metrics, conduct product experimentation through A/B testing, perform opportunity analysis, and develop predictive models to forecast future trends and understand customer behaviors.

Requirements

  • Define Metrics for Product Success: Collaborate with stakeholders to establish clear, measurable goals related to user engagement, revenue, customer satisfaction, and other key performance indicators (KPIs) relevant to the product.
  • Conduct Product Experimentation - AB Testing: Design, implement, and analyze A/B tests to empirically test hypotheses about product changes and their impact on user behavior.
  • Perform Opportunity Analysis: Utilize data to identify areas for product improvement or innovation, translating insights into actionable product features or changes in close collaboration with product managers.
  • Statistical Modeling: Develop predictive models to forecast future trends, understand customer behavior, and optimize product features and user experience.

Skills and Qualifications:

  • Dashboard Creation to Executive Presentation: Ability to visualize data, create informative dashboards, and present findings to stakeholders, including executive teams, to bridge the gap between data analysis and business strategy.
  • Domain Knowledge in the Ad Space: Specific expertise in the advertising industry, including knowledge of ad metrics, user acquisition costs, click-through rates, conversion rates, and other industry-specific KPIs.
  • Tools Proficiency: Experience with tools such as R, Python, Optimizely, Google Optimize, Google Analytics, Tableau, PowerBI, Looker, and SQL for data analysis, statistical modeling, and data visualization.
  • Bachelor's or Master's degree in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or related disciplines.
  • Proven experience in data analysis, statistical modeling, and product experimentation within the advertising domain.
  • Strong communication skills with the ability to translate complex data insights into actionable recommendations for cross-functional teams.
  • Business acumen and understanding of market dynamics to identify growth opportunities effectively.

Benefits

  • 100% remote work.
  • Payments made from the US.
  • International teams.
  • Exciting projects; all our clients are top-notch US-based companies.
  • Hourly rates in US dollars.
  • Full-time and long-term projects.
  • Contract as a vendor.

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Verisk is hiring a Remote Data Compliance Specialist

Job Description

Verisk Marketing Solutions helps marketers create exceptional experiences for their customers and prospects by targeting the right person, with the right message, at the right time. We do this with the highest standards for data security and respect for the consumer’s privacy, preference, and permission. Our consumer insights and data solutions are designed to help marketers continuously maintain a real-time view of customers and prospects as those consumer’s profiles and behaviors are changing over time. Whether our customers are seeing a consumer for the first time or have a long-standing relationship with her, we help them improve the reach, timing, relevance, and compliance of every engagement.  We take pride in helping our customers understand and apply our solutions and data to improve their digital marketing strategies in new and creative ways. When our customers win, we win. 


Position Overview 
 
The DC Specialist will report to the Head of Data Governance and will play a crucial role in ensuring that our organization maintains the highest standards of data protection and consumer privacy. You will work closely with cross-functional teams to assess and mitigate privacy risks, develop, and implement privacy policies and procedures, and ensure compliance with relevant data privacy laws and regulations. 

About the Day-to-Day Responsibilities of the Role 
 

  • Conduct comprehensive privacy impact assessments (PIAs) to identify and evaluate privacy risks associated with new and existing projects, products, and services. 

  • Manage and respond to data subject requests, including access, deletion, and rectification requests, in accordance with applicable privacy laws. 

  • Assess and monitor third-party vendors for compliance with privacy requirements and data protection agreements. 

  • Evaluate the impact of emerging technologies and initiatives on data privacy and provide recommendations for mitigating privacy risks. 

  • Stay up to date with data privacy regulations (e.g., CCPA, etc.) and ensure the organization's policies and practices align with these requirements. 

  • Act as first point of contact for certain privacy matters raised by partners and customers. 

  • Assist team with the implementation of the Data Protection & Privacy strategy & programs. 

  • Assist in developing and administering privacy training and awareness campaigns. 

  • Assist with managing and improving process and procedures for data subject requests. 

  • Assist with monitoring, auditing, testing, and reporting on various aspects of the company’s comprehensive compliance program. 

  • Liaise with Sales Engineering, Data Management, IT, and other stakeholders to respond to customer privacy questionnaires. 

#LI-AO1

Qualifications

  • Bachelor’s degree or equivalent experience, preferably in Computer Science, Information Technology, or related technical field. 

  • Strong knowledge of data privacy laws and regulations, including GDPR, CCPA, HIPAA, and other relevant regional laws. 

  • Experience conducting privacy impact assessments and risk assessments. 

  • Proficiency in privacy compliance frameworks and standards. 

  • Excellent communication and interpersonal skills. 

  • Ability to work collaboratively with cross-functional teams. 

  • Basic project management skills, but a proven ability to coordinate across departments and functions. 

 

Nice to Have  

 

  • A minimum of 3 years of experience in data and consumer privacy analysis. 

  • Relevant privacy certifications (e.g., CIPP, CIPM) preferred. . 

  • Strong understanding of digital ecosystems, including digital marketing technology 

  • Experience conducting internal audits and working with external auditors. 

  • Experience working with and implementing Privacy Rights Automation systems and tools (OneTrust, Securiti.ai, etc.) 

  • Curious and enthusiastic. 

  • Driven to optimize processes and create efficiencies without sacrificing quality. 

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6d

Data Governance Specialist

ClientSolvTechnologiesChicago, IL, Remote

ClientSolvTechnologies is hiring a Remote Data Governance Specialist

Job Description

We are seeking a Data Governance Specialist for a 10-month contract that can work remotely from anywhere within the U.S.  

 

This role will encompass the creation of a Data Governance operationalizing plan and governing the existing data while expanding to additional departments (and their data) and all associated data governance aspects.  This will require implementing data governance and furthering that support to the needs and requirements of multiple departments along with educating the internal resources across the divisions on the need for and value of data governance. 

This project will be combining data from the data stores with data from other teams. There will be collaboration with database experts, ETL programmers, business and data analysts, and other technical experts.  

There are multiple steps to this deliverable including finalizing and implementing the draft Data Governance plan with the Data Governance workstream team with recommendations on how you can best support the team in data governance.  This plan should include recommendations related to the standard best practice components of data governance, including:

  • Decision-making

  • Data ownership/stewardship

  • Roles/responsibilities

  • Key policies/procedures

  • Sustainability

  • Data Quality

  • Data Access

  • Data Security

  • Data Privacy, including governing data protection laws 

  • Data Sharing Agreements

  • Provide recommendations on how Data Governance can assist the Project Manager with coordinating the technical workstreams with the governance and management streams

  •  Offer recommendations on how Data Governance can provide support to other agency partners and internal business partners to assist with the integration of technology, management, and governance decisions.

  • Recommendations on how best to incorporate data governance into the ongoing technology decisions being made regularly.

  • Recommendations for Data Sharing Agreements, after reviewing current plans and documents in place.

  • Provide On-the-job training to data governance workstream members

Qualifications

  • Data Governance experience
  • Data Management experience
  • Working with multiple teams on creating Data Governance plans 

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6d

Remote Data Governance Specialist

ClientSolvTechnologiesNashville, TN, Remote

ClientSolvTechnologies is hiring a Remote Remote Data Governance Specialist

Job Description

We are seeking a Data Governance Specialist for a 10-month contract that can work remotely from anywhere within the U.S.  

 

This role will encompass the creation of a Data Governance operationalizing plan and governing the existing data while expanding to additional departments (and their data) and all associated data governance aspects.  This will require implementing data governance and furthering that support to the needs and requirements of multiple departments along with educating the internal resources across the divisions on the need for and value of data governance. 

This project will be combining data from the data stores with data from other teams. There will be collaboration with database experts, ETL programmers, business and data analysts, and other technical experts.  

There are multiple steps to this deliverable including finalizing and implementing the draft Data Governance plan with the Data Governance workstream team with recommendations on how you can best support the team in data governance.  This plan should include recommendations related to the standard best practice components of data governance, including:

  • Decision-making

  • Data ownership/stewardship

  • Roles/responsibilities

  • Key policies/procedures

  • Sustainability

  • Data Quality

  • Data Access

  • Data Security

  • Data Privacy, including governing data protection laws 

  • Data Sharing Agreements

  • Provide recommendations on how Data Governance can assist the Project Manager with coordinating the technical workstreams with the governance and management streams

  •  Offer recommendations on how Data Governance can provide support to other agency partners and internal business partners to assist with the integration of technology, management, and governance decisions.

  • Recommendations on how best to incorporate data governance into the ongoing technology decisions being made regularly.

  • Recommendations for Data Sharing Agreements, after reviewing current plans and documents in place.

  • Provide On-the-job training to data governance workstream members

Qualifications

  • Data Governance experience
  • Data Management experience
  • Working with multiple teams on creating Data Governance plans 

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6d

Senior Business Intelligence Engineer

SquareSan Francisco, CA, Remote
tableauairflowsqlDesignjavamysqlpython

Square is hiring a Remote Senior Business Intelligence Engineer

Job Description

The BI Team at Cash App enables our teams to make impactful business decisions. Our BI Engineers handle everything from data architecture and modeling to data pipeline tooling and dashboarding. As a Senior BI Engineer at Cash App, you will report to the BI Manager and work with Analysts, Data Scientists, Software Engineers and Product Managers to lay the foundation for analyzing our large, unique dataset. We are an extremely data-driven team - from understanding our customers, managing and operating our business, to informing product development. You will build, curate, document, and manage key datasets and ETLs to increase the impact of the entire team.

You will:

  • Create brand new and optimize existing data models for the most widely used Cash App events, entities, and processes
  • Standardize business and product metric definitions in curated and optimized datasets
  • Build pipelines out of our data warehouse
  • Teach (and encourage) others to self-serve while building tools that make it simpler and faster for them to do so
  • Promote data, analytics, and data model design best practices
  • Create dashboards that help our teams understand the performance of the business and help them make decisions

Qualifications

You have:

  • Background/knowledge in Computer Science, Applied Math, Engineering, Stats, Physics, or a something comparable
  • 5+ years of industry experience building complex, scalable ETLs for a variety of different business and product use cases
  • An interest in advancing Cash App's vision of building products for economic empowerment - this should be something that legitimately excites you

Technologies we use and teach:

  • SQL (MySQL, Snowflake, BigQuery, etc.)
  • Airflow, Looker and Tableau
  • Python and Java

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7d

Senior Analytics Engineer

Khan AcademyMountain View, CA / Remote friendly (US + Canada Only)
remote-firstsqlDesignc++python

Khan Academy is hiring a Remote Senior Analytics Engineer

ABOUT KHAN ACADEMY

Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone anywhere. Our proven learning platform offers free, high-quality supplemental learning resources that cover Pre-K - 12th grade and early college core academic subjects, with a focus on math and science.  We have over 155 million registered learners globally and are committed to improving learning outcomes for students around the world, with a focus on learners in historically under-resourced communities. 

OUR COMMUNITY

Our students, teachers, and parents come from all walks of life, and so do we.  Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger.  We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve.  We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.

THE ROLE

We’re a small team with big dreams and we’re only just getting started. We have some of the richest educational data in the world, and we want to leverage that data to develop a clearer picture of who our users are, how they are using the site, and how we could better serve them on their educational journey. Your work will enable answering critical and meaningful questions like "how do students learn most effectively?" and "how can we improve our content and product?".

The Sr. Analytics Engineer will strengthen our capabilities to enable the organization to use data to inform our decisions. You’ll have ownership of our enterprise data model and the core data pipelines that power our top line metrics and critical analyses. 

The Sr. Analytics Engineer is someone who enjoys tidying and documenting data and then delighting in the company’s well-organized EDW. You favor writing SQL to transform raw data into the data models to service your customers, the Analytics and Research teams, to empower them to generate actionable insights for stakeholders. You’ll work on projects that improve the quality and reliability of our existing data, and you’ll also enable entire new areas of the organization with new core data sources. And you adopt software engineering best practices to produce high quality data solutions.

What you’ll do:

  • Systematically build out our enterprise data model and warehouse:
    • Design, build, and productionize our ever-improving suite of core pipelines and data tables to enable standardized reporting and analysis.
    • Collaborate with engineers on the infrastructure team to improve our data technology stack (logging, instrumentation, ETL, security). You may also pitch in to help them bring new data into our warehouse.
    • Partner with analytics team members, the research team, and the broader product and business teams to design and standardize business rules and metric definitions. 
    • Implement EDW standards and robust monitoring/QA processes to ensure we continue to improve the quality and reliability of our data.
  • Empower every team with data:
    • Identify, pilot, and deploy whichever tools, datasets, and processes are best suited to increase access to and data use across Khan Academy to empower data-driven decision-making.
    • In addition to supporting members of the Data Insights Group, work with the product, content, philanthropy, marketing teams, and others to bring data to their fingertips, ideally with solutions that allow them to self-serve with our Looker implementation.
    • You will also build infrastructural data solutions to facilitate reporting to external partners and will ensure the highest standards of data accuracy, reliability, and security
  • Help instill a ‘data driven’/’data informed’ culture:
    • Shepherd our Metrics and Data Documentation wiki
    • Train team members on data skills and tooling

WHAT YOU BRING:

  • 6+ years experience in analytics/data engineering or data warehousing; or in a business intelligence field with a strong emphasis on data modeling and pipeline work. Preference for experience in a consumer-facing internet business or edtech setting.
  • Advanced SQL skills (window functions, creating UDFs,  DML/DDL commands, etc.)
  • Proficiency in writing and maintaining data pipelines and data quality monitors in a workflow management tool for productionized solutions, with source control and code review.
  • Proficiency in computer science and software engineering fundamentals, including at least one scripting language (e.g., Python)
  • Experience across the entire data lifecycle: instrumentation, logging, data modeling, ETL, Business Intelligence, and visualization tools.

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team extremely well!

  • Competitive salaries
  • Ample paid time off as needed – Your well-being is a priority.
  • Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
  • Generous parental leave
  • An exceptional team that trusts you and gives you the freedom to do your best
  • The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
  • Opportunities to connect through affinity, ally, and social groups
  • And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.

The target salary range for this position is $137,871 - $152,000 USD / $172,339 - $190,000 CAD. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data. Exceptional performers in this role who make an outsized contribution can make well in excess of this range.  Additional incentives are provided as part of the complete total rewards package in addition to comprehensive medical and other benefits.

MORE ABOUT US

OUR COMPANY VALUES

Live & breathe learners

We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.

Take a stand

As a company, we have conviction in our aspirational point of view of how education will evolve, and we aren’t afraid to take bold bets to invent the future we want to see. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.

Embrace diverse perspectives

We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.

Work responsibly and sustainably

We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.

Bring out the joy

We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.

Cultivate learning mindset

We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.

Deliver wow

We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on, while at the same time, we don’t let perfect be the enemy of the good.We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.

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Remote is hiring a Remote Senior Analytics Engineer I

About Remote

Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out remote.com/how-it-works to learn more or if you’re interested in adding to the mission, scroll down to apply now.

Please take a look at remote.com/handbook to learn more about our culture and what it is like to work here. Not only do we encourage folks from all ethnic groups, genders, sexuality, age and abilities to apply, but we prioritize a sense of belonging. You can check out independent reviews by other candidates on Glassdoor or look up the results of our candidate surveys to see how others feel about working and interviewing here.

All of our positions are fully remote. You do not have to relocate to join us!

What this job can offer you

  • A chance to work on creating data models that guide incredibly important commercial initiatives
  • Opportunity to work on extremely cross-functional initiatives (incl. Sales, Marketing, Finance, Data Engineering & of course Analytics) to broaden big picture knowledge
  • A chance to set standards for high quality analytics engineering practices within the Revenue Analytics team
  • Vast autonomy around your schedule, influence on tooling and the crafting of technical solutions

What you bring

  • 4+ years of experience in data/analytics/software engineering (Data Analysts or Scientists with demonstrated analytics engineering skills also welcome)
  • Top-Tier written & oral communication skills with the ability to adapt and explain complex technical topics for less technical audiences
  • Experience with SQL, ETL, data modelling, and at least one programming/scripting language (e.g. Python, C++, C#, Scala, etc.)
  • Proficient understanding of software engineering practices, including version control, CI/CD, testing and documentation
  • Working knowledge of dbt as well as a data pipeline orchestration tool
  • A pragmatic mindset with a focus on delivering practical solutions and rolling up the sleeves to make an impact, and a desire to collaborate with Data Engineers, Analysts & Business Users
  • Writes and speaks fluent English

Nice To Have:

  • Startup/Scaleup Experience, AWS Knowledge, Comfort with distributed & remote teams, EMEA Location, SalesForce Data Experience, Hands-On familiarity with a BI Tool such as Tableau/Looker
  • It's not required to have experience working remotely, but considered a plus

Job Responsibilities

  • Design, build, and maintain databases and automated data processes, leveraging Python libraries, Scripting and SQL, with a focus on clarity, consistency, and accuracy of data across various platforms and systems
  • Merging, Cleaning & Aggregating data from different tools & platforms (e.g. Funnel.io, SalesForce, HubSpot, Ad Platforms such as Meta) to create an end-to-end unified picture of Sales, Marketing & Revenue Analytics
  • Building & Maintaining internal tooling and data aggregations for effective reporting & visualizing of KPIs in dashboards, particularly around time-series metrics
  • Liaising productively with Data Analysts and business teams to ensure that data products & solutions built are not only technically sound but highly effective and widely useful
  • Bring polished data to Data Analysts and eventually to decision-makers, building pipelines, automations, aggregations and transformations that enable useful insights into Sales, Marketing & Revenue Performance
  • Collaborate closely with our data engineering and analytics teams to ensure data reliability, scalability, and accuracy

Practicals

  • You'll report to: Director Of Revenue Analytics
  • Direct reports: None
  • Team: Go-To-Market
  • Location: For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify;
  • Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is between $42,750 USD to $96,200 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

Roughly 6 hours across 6 weeks

  1. Interview with recruiter
  2. Interview with future manager
  3. Technical interview with a data/analytics engineer (and maybe manager)
  4. Interview with team members (no managers present)
  5. Prior employment verification check

 

 

#LI-DNP

Benefits

Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters:
  • work from anywhere
  • unlimited personal time off (minimum 4 weeks)
  • quarterly company-wide day off for self care
  • flexible working hours (we are async)
  • 16 weeks paid parental leave
  • mental health support services
  • stock options
  • learning budget
  • home office budget & IT equipment
  • budget for local in-person social events or co-working spaces

How you’ll plan your day (and life)

We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async.

You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.

If that sounds like something you want, apply now!

How to apply

  1. Please fill out the form below and upload your CV with a PDF format.
  2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
  3. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.

We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to.

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Braze is hiring a Remote Senior Analytics Engineer

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

WHAT YOU’LL DO

Team Overview:

Join our dynamic team dedicated to revolutionizing data analytics for impactful decision-making. The team collaboratively shapes data strategies, optimizing analytics practices to drive business growth.

Responsibilities:

  • Lead the design, implementation, and monitoring of large-scale data warehouses.
  • Excel in SQL with proficiency in window functions, STRUCT/ARRAY manipulation, and query optimization.
  • Dive deep into product understanding, team roadmaps, technical architecture, and data flow.
  • Mentor data-savvy stakeholders on data best practices.
  • Expertly design data models (Snowflake, Star, Data Vault 2.0) for clean data structures.
  • Track downstream usage and feedback for continuous improvement.
  • Adhere to and promote performance best practices based on specific database engine requirements.
  • Embrace a passion for data cataloging, metadata management, and adherence to data governance principles.
  • Design systems with a test-driven approach for trapping bad-quality data and highlighting alerts.
  • Utilize tools like dbt for building efficient data transformation pipelines.
  • Partner effectively with engineering, data analysts, data scientists, and business stakeholders.

WHO YOU ARE

The ideal candidate for this role possesses:

  • 4+ years of hands-on experience in Snowflake and other cloud data warehouses.
  • Proven expertise in SQL, data modeling, and data governance principles using dbt.
  • A track record of leading impactful data projects.
  • Effective collaboration skills with cross-functional teams.
  • In-depth understanding of technical architecture and data flow.
  • Ability to mentor and guide stakeholders on data best practices.
  • Proficiency in schema design (Snowflake, Star, Data Vault 2.0) and large-scale data warehouse implementation.
  • Passion for clean data structures and continuous improvement.
  • Strong analytical and problem-solving skills.
  • Enthusiasm for SQL frameworks like dbt.
  • Expertise in owning and managing dbt projects.
  • Dedication to applying data governance principles at scale.

#LI-REMOTE

WHAT WE OFFER

Details of these benefits plan will be provided if a candidate receives an offer of employment. Benefits may vary by location.

From offering comprehensive benefits to fostering flexible environments, we’ve got you covered so you can prioritize work-life harmony.

  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and tuition reimbursement
  • Community engagement opportunities throughout the year, including an annual company wide Volunteer Week
  • Employee Resource Groups that provide supportive communities within Braze
  • Collaborative, transparent, and fun culture recognized as a Great Place to Work®

ABOUT BRAZE

Braze is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty.

Braze is proudly certified as a Great Place to Work® in the U.S., the UK and Singapore. We ranked #3 on Great Place to Work UK’s 2024 Best Workplaces (Large), #3 on Great Place to Work UK’s 2023 Best Workplaces for Wellbeing (Medium), #4 on Great Place to Work’s 2023 Best Workplaces in Europe (Medium), #10 on Great Place to Work UK’s 2023 Best Workplaces for Women (Large), #19 on Fortune’s 2023 Best Workplaces in New York (Large). We were also featured in Built In's 2024 Best Places to Work, U.S. News Best Technology Companies to Work For, and Great Place to Work UK’s 2023 Best Workplaces in Tech.

You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Chicago, Jakarta, London, Paris, San Francisco, Singapore, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, national origin, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.

Please see ourCandidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

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Oscar Health is hiring a Remote Analytics Engineer II

Hi, we're Oscar. We're hiring an Analytics Engineer II to join our Data Science team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

 

About the role

As an Analytics Engineer II, you will occupy a vital position in Oscar’s financial data pipeline, both as an architect of improvements to its infrastructure and in the delivery of transformed data to downstream users.  You will play a leading role in the design and implementation of the Financial Data Hub, a DBT project of fit for purpose financial transaction data and functionality, and its integration with financial record keeping software.  You will also contribute to the creation and enhancement of comprehensive and reliable Certified Datasets (CDS) curated to reduce time-to-insight for stakeholders and facilitate efficient answering of business questions.  You will maintain strong collaborative relationships with business stakeholders and partner with them to understand requirements for the Financial Data Hub and for Finance CDS features.

You will report to an Associate Director, Financial Data Platform. 

Work Location:

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.

If you live within commutable distance to our New York City office ( in Hudson Square), our Tempe office (off the 101 at University Ave), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.

You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency: 

The base pay for this role is: $119,200 - $156,450 per year. You are also eligible for employee benefits, monthly vacation accrual up to 10 days per year, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

 

Responsibilities

  • Partner with the Finance team to determine the requirements for the structure of data and functionality in the Financial Data Hub and the flow of data between the Hub and Finance's software.  Design and build the Hub and its connections based on those requirements.
  • Become a financial data subject matter expert and use that knowledge both to inform the design and build of the Financial Data Hub and to contribute to expanding the breadth, depth, and accuracy of Finance CDS, the principal direct source of financial data for the Hub and for business users across Oscar.
  • Promote data fidelity in upstream data producing systems and expand quality checks within Finance CDS and the Financial Data Hub.
  • Partner with Engineering to validate updates to raw financial data structure within an evolving production system and update Finance CDS and Financial Data Hub code accordingly while preventing service interruption for stakeholders.
  • Identify opportunities and implement solutions to enhance the efficiency of existing financial data transformations, with a focus on speed, cost-effectiveness, and stability.
  • Train and mentor data scientists and data engineers in analytics engineering best practices

Qualifications

  • 3+ years of experience in Analytics Engineering, Data Science, or a related field.
  • 3+ years of experience working with a variety of database languages, including SQL, DDL and DML with demonstrated ability to efficiently transform data and databases.
  • 2+ years of experience with cloud database tools (GCP, AWS, Azure)
  • 2+ years of experience developing within a modern data transformation tool like DBT.
  • 1+ years of experience working with and presenting to non-technical stakeholders.

Bonus Points

  • Experience integrating cloud database tools (GCP, AWS, Azure) with financial software (Workday, Netsuite)
  • Experience working with healthcare data, analytics, and reporting.
  • Experience with Google Cloud Platform.
  • A background in healthcare and/or insurance.
  • Strong communication skills, verbal and written, as demonstrated by experience on at least 1 project or initiative requiring communication between technical and non-technical users.

 

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraudhere

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..

Pay Transparency: 

Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.

Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Reasonable Accommodation:

Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

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Databricks is hiring a Remote Senior Data Scientist

Job Application for Senior Data Scientist at Databricks

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8d

Data Analyst

Blend36Montevideo, Uruguay, Remote

Blend36 is hiring a Remote Data Analyst

Job Description

  • Accumulate and gather data from diverse sources, ensuring precision and comprehensiveness.  

  • Conduct comprehensive data analysis to extract actionable insights and bolster decision-making processes.  

  • Apply SQL for database querying, extracting pertinent information, and executing data transformations. 

  •  Formulate and sustain reports and dashboards for presenting analytical discoveries.  

  •  Engage in data modeling endeavors and collaborate with data architects and engineers to support the development of a streamlined data warehouse.  

  • Collaborate with business stakeholders to comprehend their data needs and requirements. 

  •  Enforce and implement data quality checks within Snowflake. 

Qualifications

  • Bachelor's degree in Accounting, Finance, or Engineering.  

  • Pproficiency in SQL is a must.  

  • Robust analytical and problem-solving capabilities. 

  • Snowflake experience is a plus.   

  • Exceptional communication skills to articulate intricate findings to both technical and non-technical stakeholders.  

What about languages? 

  • Excellent written and verbal English for clear and effective communication is a must! 

How much experience must I have? 

We're looking for someone with 2+ years of experience as a data analyst.  

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8d

Data Science Lead

Blend36Montevideo, Uruguay, Remote
sqlazurepythonAWS

Blend36 is hiring a Remote Data Science Lead

Job Description

What is this position about? 

As a Data Science Engineer you'll collaborate closely with business leaders to address our clients' diverse business challenges. Our engagements span across various sectors including marketing, revenue management, customer service, inventory management, and other key aspects of contemporary business. Our Data Science Engineer possesses the business acumen to deploy data-driven solutions across a spectrum of business models and situations. 

You may work 100% remotely if you are currently living in LATAM or you can always join us at the office in Montevideo, Uruguay!

Job Description

  • Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps. 
  • Developing project plans with milestones, dates, owners, and risk contingency, creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
  • Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights for customer acquisition and operational efficiency.
  • Performing data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making.
  • Training, validate, and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.

Qualifications

Qualifications

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field. 
  • 4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization. 
  • Experience with one or more Advanced Data Science software languages (Python, R, SAS). 
  • Proven ability to deploy machine learning models. 
  • Experience with SQL and relational databases, query authoring and tuning. Working familiarity with various databases including Hadoop/Hive.
  • Experience with Spark and data-frames in PySpark or Scala.
  • Strong problem-solving skills; ability to pivot complex data to answer business questions.
  • Familiar with geospatial tools
  • Proficiency in Data Visualization
  • Ability to think creatively
  • Comfortable with cloud-based platforms (AWS, Azure, Google).
  • Experience with Google Analytics, Adobe Analytics and/or Optimizely are a plus.

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

How much experience must I have? 

We're looking for someone with 4+ years' of experience in similar roles. 

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8d

Data Quality Analyst

ATPCO1Dulles, VA, Remote

ATPCO1 is hiring a Remote Data Quality Analyst

Job Description

As a Data Quality Analyst, you will play a critical role in ensuring the integrity, accuracy, and adherence to standards of the data within our organization. Your primary responsibility will be to interrogate data sources, assess data quality, and implement measures to enhance and maintain high data standards. You will collaborate closely with data scientists, vendors, quality assurance analysts, and other stakeholders to proactively identify and rectify data quality issues, ensuring that our organization makes informed decisions based on reliable and trustworthy data. 

  

You Will: 

  • Evaluate and interrogate various data sources to assess the quality, accuracy, and completeness of the data 

  • Develop and implement data quality assurance processes and standards to ensure consistent and reliable data across the organization 

  • Create and maintain documentation outlining data quality procedures and guidelines 

  • Utilize data profiling tools and techniques to analyze data structures, patterns, and anomalies 

  • Identify and investigate data inconsistencies, outliers, and errors 

  • Proactively identify data quality issues and collaborate with relevant teams to address and rectify them 

  • Work closely with data engineers to implement data cleansing and enrichment processes 

  • Design and execute data validation and testing procedures to verify the accuracy and reliability of data transformations and integrations 

  • Collaborate with development teams during testing phases to ensure data quality standards are met 

  • Communicate effectively with data owners, suppliers, analysts, and other stakeholders to understand data requirements and address quality concerns 

  • Provide training and support to teams on best practices for maintaining data quality 

  • Continuously monitor and evaluate data quality metrics, seeking opportunities for improvement 

  • Propose and implement enhancements to data quality processes and tools 

 

The Ideal Candidate:

  • Pricing or revenue management experience preferred
  • Proven experience as a Data Quality Analyst or similar role
  • Strong understanding of data quality principles, data profiling techniques, and data management best practices
  • Proficiency in SQL, Excel and experience using tableau.
  • Excellent analytical and problem-solving skills with a keen attention to detail. 

  • Strong communication skills to collaborate with external data suppliers and internal teams. 

Qualifications

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Clarifai is hiring a Remote Senior Research Scientist, Machine Learning

About the Company

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States, Canada, Estonia, Argentina & India.

We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.

Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.

 

The Opportunity

Note: We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this particular opportunity, as we are looking for someone who is eligible for a Secret or Top Secret Clearance

As a member of our Research Team, you will apply the latest academic insights to practical applications, pioneering solutions that shape the future of Clarifai’s AI platform. Your role involves pushing the boundaries of what's possible in AI/ML today, transforming the latest academic research into practical, scalable solutions. Collaborating closely with our MLOps, Engineering, Professional Services, and Product teams, your work will not only enhance our existing products and have direct impact on our customers, but also pioneer new directions for Clarifai's AI capabilities. Your deep learning expertise, particularly in CV, NLP, and multi-modal AI, will be crucial in driving our product innovation and strategic vision. You will keep up with state-of-the-art advances through continual learning, internal research projects, conference attendance, and collaboration with academic and industry partners.

We are looking for someone motivated by having their ideas and creations out in the world in the hands of users and who shares our excitement about the potential of AI/ML to positively transform our world. We value a collaborative, inclusive environment and seek those who are skilled at sharing knowledge inside and outside of Clarifai.

Key Responsibilities:

  • Lead and participate in R&D initiatives in new research domains, particularly in CV, NLP, and multi-modal to augment Clarifai's product capabilities and meet customers’ unique needs.
  • Engage in rapid prototyping and experimental methodologies to fast-track innovation.
  • Develop clear, maintainable code that can be adopted and extended by others.
  • Adhere to best engineering practices, including source control management, code reviews, and test-driven development.
  • Foster a collaborative and inclusive environment, sharing knowledge and insights within and beyond Clarifai.

Impact

As one of Clarifai’s Senior Research Scientists, your work will resonate throughout the developer and AI/ML communities, significantly influencing Clarifai's market position and innovation trajectory. You will leverage cutting-edge machine learning tools and impart your deep learning expertise across the organization, driving our mission forward.

Requirements

  • 3+ years of hands-on experience in neural network development, with a strong focus on computer vision and/or natural language processing.
  • Experience with multiple imaging modalities 
  • Expertise in  Python, as well as experience with libraries such as numpyy, pandas, scikit-learn, and matplotlib. Proficiency in PyTorch is required.
  • Advanced degree (PhD/Masters) in Computer Science, Mathematics, Engineering, or a related field.

Great to Have

  • Has an Active Secret or Top Secret clearance, or eligibility to obtain such a clearance. 
  • Previous projects developing  object detection, multi-object tracking, LLMs, LLM applications (chat, RAG, PEFT, etc.), and/or multi-modal models or applications (Captioning, VQA, cross-modal retrieval).
  • Experience in other machine learning domains, such as audio/signal processing or synthetic aperture radar (SAR).
  • Experience with the open source  AI/ML ecosystem such as Hugging Face, OpenMMLab, etc.
  • Experience with government contracting
  • Published research, especially in CV, NLM, and/or multi-modal AI.
  • PhD in machine learning-related discipline.

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9d

Data Scientist

Agile SixUnited States, Remote
agileBachelor's degreesqlDesigngitc++pythonbackend

Agile Six is hiring a Remote Data Scientist

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is looking for aData Scientistto join a remote, cross functional agile team responsible for architecting and building a data platform to support a new Postal Service Health Benefits System. This role is pivotal in leveraging data-driven insights to shape the future of healthcare benefits, ensuring PSHBP stands as the most advanced health benefits system in the U.S. healthcare marketplace. Among other responsibilities, the person selected for this role will be responsible for analyzing data quality, supporting the delivery of the data platform, and developing and testing reports, dashboards, and analytics that drive business decisions.

We are posting this job in anticipation of a new project. Selected awardee of this contract is unknown at this time, however, we are proactively posting this job in anticipation of a possible award to Agile Six and a rapid start with a new project. As such, the responsibilities of this position may shift over time in response to the emerging needs of the project. With that consideration in mind, we are searching for someone dynamic, adaptable, and open minded who is passionate about data in many contexts. The successful candidate for this role is an excellent communicator, as well as someone who is curious about where data analysis, backend development, data engineering, and data science intersect.

Responsibilities

  • Work as part of a distributed/remote agile cross-functional team to support the design, development, and implementation of a robust data platform
  • Conduct thorough data quality assessments to ensure the integrity and reliability of data within the PSHBP project
  • Develop and refine dynamic reports, dashboards, and analytical tools to enable informed decision-making and support the project's goals
  • Where applicable, apply advanced statistical analysis, machine learning techniques, and predictive modeling to extract actionable insights from complex datasets
  • Communicate insights and findings to OPM stakeholders through a variety of media, including presentations, demonstrations, and written descriptions
  • Ensure all customer-facing features, including reports and dashboards, adhere to the highest standards of accessibility and usability, in line with our commitment to a human-centered approach
  • Participate actively in agile ceremonies, contributing to the team's continuous improvement and delivering high-value solutions to our federal agency partners
  • Foster an environment of knowledge sharing, providing insights and training to enhance the team's data literacy and analytical capabilities
  • Demonstrate the capacity to succeed in a remote work scenario, with the added communication challenges this poses
  • We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment

Basic qualifications

  • 7+ years of full-time experience as a Data Scientist or closely related role
  • Proven experience in data analysis, statistical modeling, and predictive analytics
  • Proficiency in programming languages and tools such as Python, R, SQL, Spark, and familiarity with visualization tools like Power BI
  • Experience with data modeling: defining the schema/structure of data sets and the relationships between data sets
  • Ability to prepare data for statistical modeling and an interest in building statistical and machine learning models
  • Demonstrated ability to work collaboratively in agile, cross-functional teams
  • Excellent communication skills, with the ability to translate complex data insights into actionable recommendations for both technical and non-technical stakeholders
  • Experience with Git and GitHub or other source control systems
  • Residence in and ability to work in the U.S. (unfortunately, we cannot support Visas at this time)
  • Ability to pass a U.S. Government background investigation

Additional desired qualifications

  • Advanced degree in Data Science, Statistics, Computer Science, or related field
  • Experience working with government agencies
  • U.S. Veteran

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary for this position is $141,387 - $148,638

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not bossy), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

  • Self-managed work/life balance and flexibility
  • Competitive and equitable salary (equal pay for equal work)
  • Employee Stock Ownership (ESOP) for all employees!
  • 401K matching
  • Medical, dental, and vision insurance
  • Employer paid short and long term disability insurance
  • Employer paid life insurance
  • Self-managed and generous paid time off
  • Paid federal holidays and Election day off
  • Paid parental leave
  • Self-managed professional development spending
  • Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role is required to work from the contiguous United States. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

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