Data Scientist Remote Jobs

50 Results

+30d

Data Scientist

NielsenIQMadrid, Spain, Remote
azurepython

NielsenIQ is hiring a Remote Data Scientist

Job Description

  • Understand business issues, stakeholder requirement and expectations  

  • Perform relevant modeling analysis and POC exploring multiple techniques 

  • Ensure Analytics model quality 

  • Document and present findings and recommendations on methodology in a structured way to various stakeholder or partnering teams (Tech, Product leader). 

  • Work closely with the Tech team to convert those POC into fully scalable products. 

  • Stay abreast of developments in the area to ensure bringing the most appropriate solutions to our business. 

Qualifications

You’ve built a decent track record in research and data analytics. And you have the communication chops to translate it all into conversations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of technology takes someone who recognizes that. You know what’s happening in big data and you’re ready to influence what’s next. 

  • Master degree in mathematics, Data Science or a closely related field 

  • 3+ years of experience as a Data Scientist in the business 

  • Strong knowledge of 

  • statistical modelling 

  • data mining 

  • predictive analytics 

  • machine learning: Forecasting, Classification, Data/Text Mining, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms, Generative AI (like LLM) 

  • Experience modelling fast moving consumer goods sales 

  • High proficiency in Data Science tools like Python, PySpark, DataBricks 

  • Experience working with a development team to deploy models in cloud environments like Microsoft Azure 

  • Established experience as a Data Scientist within a commercial environment 

  • Strong problem solving and communication skills, independent working style 

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+30d

Senior Data Scientist, for Restaurants

SquareOakland (Remote), CA, Remote
sqlpython

Square is hiring a Remote Senior Data Scientist, for Restaurants

Job Description

Square’s mission is economic empowerment and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The Restaurants team within Square is a focused initiative charged with empowering Food & Drink businesses of all kinds to start, run, and grow their businesses through advanced workflows, specialized products, business insights, and inclusion in the greater Square ecosystem. The Restaurants team owns multiple products that Food & Drink businesses use, such as the Point-of-Sale, the Kitchen Display, as well as the overall Square product experience in the Food & Drink space.

As a Data Scientist, you will use data engineering, analytics, statistics and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive customer experience. You will help lead the effort to define metrics to track progress against organizational goals, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.

You will:

  • Partner directly with the Restaurants product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impact

  • Build foundational metrics and KPIs to measure the health of our business

  • Work with the engineering team to implement high quality product event logs

  • Apply data engineering best practices to build a solid foundational of ETLs to power our analytics, data science and machine learning efforts

  • Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights

  • Coordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data science

  • Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media

  • Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful

Qualifications

You have:

  • 5+ years of analytics and data science experience or equivalent

  • Experience building relationships to influence product partners with data

  • Knowledge of data engineering best practices

  • Experience leading and participating in cross-functional projects that depend on the contributions of others in multiple disciplines

  • Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn and defining frameworks for measuring success

  • Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)

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+30d

Principal Data Scientist

KalderosRemote, United States
5 years of experiencesqlmobileslackazurec++python

Kalderos is hiring a Remote Principal Data Scientist

About Our Organization

At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing.  Our success is measured when we can empower all of healthcare to focus more on improving the health of people. 

That success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.

That’s where you come in! 

What You'll Do

We are looking for a collaborative Principal Data Scientist. You have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so. You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes.

  • Work with product teams to understand and develop data models that can meet requirements and operationalize well
  • Collaborate with Product and other Engineers to solve problems that directly impact enterprise customers
  • Use Data Science techniques to provide insights to the Organization as well as Customers
  • If needed, build data transformations and data flows utilizing Python, DBT, and Snowflake
  • Build  / evaluate predictive models that help improve our products 
  • Build tools that help other team members who are working within the Analytics and Data Science teams
  • Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon
  • Mentor other data analysts and scientists

What You'll Bring

  • Bachelor’s degree in computer science or similar field.
  • 12+ years of work experience working with Data as a data scientist or researcher in a professional full-time role
  • Strong knowledge of SQL, Python with at least 5 years of experience in both
  • Experience of at least 2+ years with Data Analytics libraries such as Pandas, Numpy and others
  • Experience of at least 5 years with cloud native infrastructure (we use Azure)
  • Experience of 2+ years with containerized applications
  • Experience of 3+ years building data and predictive pipelines for the healthcare industry
  • Professional experience in application programming with an object-oriented language.

Expected Salary Range: $160,000 - $180,000 base + bonus

____________________________________________________________________________________________

Highlighted Company Perks and Benefits

  • Medical, Dental, and Vision benefits
  • 401k with company match
  • Flexible PTO with a 10 day minimum
  • Opportunity for growth
  • Mobile & Wifi Reimbursement
  • Commuter Reimbursement
  • Continuing education reimbursement
  • Donation matching for charitable contributions
  • Travel reimbursement for healthcare services not available near your home
  • New employee home office setup reimbursement

What It’s Like Working Here

  • We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
  • We empower each other and believe in ensuring all voices are heard.
  • We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. 
  • We’re curious and go deep. Our slack channel is filled throughout the day with insightful articles, discussions around our industry, healthcare, and our book club is always bursting with questions.

To learn more:https://www.kalderos.com/company/culture

We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!

Kalderos is proud to be an equal opportunity workplace.  We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. This position can be remote in the United States or hybrid in Chicago, IL or Boston, MA.

Kalderos participates in E-Verify.

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+30d

Data Scientist

CIYIS LLCAtlanta, GA Remote
agileMaster’s DegreesqlDesignazurejavapython

CIYIS LLC is hiring a Remote Data Scientist

We are seeking a Cognitive Scientist to join our dynamic team! This position contributes to the assessment, design, build, and deployment of Data Cloud solutions utilizing industry best practices. This role focuses on the application of cognitive science to enable artificial intelligence with enterprise business applications. Supports pilots and approaches for learning representations from textual data to enhance information discovery and improve human decision making. Contributes to team research and development efforts in the areas of training design, competency modeling, and cognitive metrics. You will be part of a highly innovative fast-paced team, incorporating and inventing emerging software technologies to deliver best practice Data Cloud solutions. This Engineer will play a hands-on part in driving the architecture, design, and implementation of Snowflake for our clients.

Responsibilities
  • Participate as a data scientist in the project team and provide agile software delivery, best-practice expertise to deliver results for an organization.
  • Collect data and identify data sources
  • Lead discussions and assess the feasibility of AI/ML solutions for data processes and outcomes
  • Analyze huge amounts of data, both structured and unstructured
  • Create solutions and strategies to business problems
  • Work with team members and leaders to develop data strategy
  • To discover trends and patterns, combine various algorithms and modules
  • Present data using various data visualization techniques and tools
  • Investigate additional technologies and tools for developing innovative data strategies
  • Create comprehensive analytical solutions, from data gathering to display; assist in the construction of data engineering pipelines
  • To boost general effectiveness and performance, stay current with the newest tools, trends, and technologies
  • Collaborating together with the product team and partners to provide data-driven solutions created with original concepts
  • Create analytics solutions for businesses by combining various tools, applied statistics, and machine learning
  • Architect, implement, and monitor data pipelines, as well as conduct knowledge sharing sessions with peers to ensure effective data use
Qualifications
  • Experience with artificial intelligence, machine learning, Natural Language Processing, knowledge discovery and data mining, unstructured data analytics.
  • Experience with one or more programming languages/frameworks including but not limited to: Java, C/C++, PyTorch, Jupyter Notebook, NumPy, Pandas, R, and/or Python.
  • Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
  • Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)
  • Significant experience in systems analysis and solution development leveraging A.I./M.L
  • Significant experience translating and mapping business requirements to technical requirements
  • Experience in Microsoft Azure, Python, and SQL
  • Experience developing solutions in at least 4 of the following technology areas:
    • Government Cloud IaaS and PaaS (FEDRAMP Authorized solutions)
    • Microservices and Containers
    • DevSecOps
    • Data Analytics
    • ML/AI (Machine Learning / Artificial Intelligence)
Educational & Work Qualifications:
  • Advanced Degree required: Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics or Engineering
  • Must possess IT-II security clearance or have a current National Agency Check with Local Agency Check and Credit Check (NACLC).
  • No visa sponsorship available and must be able to pass a government background check (eligible to hold a government clearance).

CIYIS is an Equal Opportunity Employer and all Qualified Applicants will receive consideration for employment without regard to Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status or any other Characteristic Protected by Law.

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+30d

Product Data Scientist

Stitch FixRemote, USA
tableausqlDesignpython

Stitch Fix is hiring a Remote Product Data Scientist

About the Role

Product Analytics is an integral part of the future success of our business.  We support business decision-making, opportunity sizing, marketing spend & risk management helping and bring confidence to decisions made, at every level, with data and analytics. we make. As an experienced analytics practitioner, you will help to provide the data, information and insights that will inform our product investment and rollout decisions. You will proactively uncover insights and unlock opportunities that influence the product roadmap, as well as our merchandising and marketing decisions. You will define and monitor the metrics that best measure the business impact of our customer experience. You will empower partners to keep informed through reporting and data-enablement. This role is on a high-visibility Data + Analytics team and will be involved in strategic decision making on day 1. This role reports to the Sr Manager of Analytics.

 

You’re excited about this opportunity because you will… 

  • Own product analytics across our Client Experience & Client Support functions
  • Work with different groups of product managers, business partners, data scientists and engineers on how to leverage data to help solve business problems 
  • Guide our product roadmaps & strategic investments through opportunity sizing & decision support
  • Understand our client’s behaviors, user journeys, and long-term business trends in our data to identify opportunities for new features.
  • Design, implement and evaluate A/B tests to optimize customer journey with our products – owning end-to-end while championing best practice experimentation methodologies 
  • Be part of a collaborative team which has high visibility across the organization

We’re excited about you because… 

 

  • Strong experience partnering with product managers and/or business stakeholders for decision making using data + analytics
  • 5+ years in a data science or product analytics role
  • Exceptional coding and design skills in Python and SQL
  • Strong Experience with data mining, transforming and analyzing data across databases
  • Cross functional communication skills that help simplify and move complex problems forward with business partners
  • Prioritization skills with business impact in mind and ability to be pragmatic where appropriate
  • Experience in working autonomously and taking ownership of projects.
  • 2+ years of experience with data visualization tools (e.g. Looker, Tableau) and associated dashboard and visualization best practices
  • Knowledge of statistics (experimental design, statistical analysis, hypothesis testing)

Preferred qualifications

  • Degree in a business or quantitative field (e.g., business, economics, mathematics, statistics, computer science)
  • Experience working with product and engineering teams on customer facing products
  • 2+ years of experience in working with clickstream(/event/log) data

Why You’ll Love Working at Stitch Fix

 

  • We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same! 
  • We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
  • We are a technologically and data-driven business
  • We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
  • We love solving problems, thinking creatively and trying new things
  • We believe in autonomy & taking initiative
  • We are challenged, developed and have meaningful impact
  • We take what we do seriously. We don’t take ourselves seriously
  • We have a smart, experienced leadership team that wants to do it right & is open to new ideas
  • We offer competitive compensation packages and comprehensive health benefits
  • You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day

 

About Stitch Fix

We're changing the industry and bringing personal styling to every body. We believe in a service and a workplace where you can show up as your best, most authentic self. The Stitch Fix experience is not merely curated—it’s truly personalized to each client we style. We are changing the way people find what they love. We’re disrupting the future of retail with the precision of data science by combining it with human instinct to find pieces that fit our client’s unique style. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. This results in a simple, yet powerful offering to our customers and a successful, growing business serving millions of men, women and kids throughout the US and UK. We believe we are only scratching the surface and are looking for incredible people like you to help us boldly create our future. 

Compensation and Benefits

Our anticipated compensation reflects the cost of labor across several US geographic markets, and the range below indicates the low end of the lowest-compensated market to the high end of the highest-compensated market. This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.
Salary Range
$178,000$191,000 USD

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Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy

Recruiting Fraud Alert: 

To all candidates: your personal information and online safety are top of mind for us.  At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email RecruitingOperations@stitchfix.com

You can read more about Recruiting Scam Awareness on our FAQ page here: https://support.stitchfix.com/hc/en-us/articles/1500007169402-Recruiting-Scam-Awareness 

 

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+30d

Data Scientist II

SignifydUnited States (Remote);
Bachelor's degreeBachelor degreesqlDesignlinuxpython

Signifyd is hiring a Remote Data Scientist II

The Data Science team builds production ML models and risk management tools that are the core of Signifyd's product.

We help businesses of all sizes minimize their fraud exposure and grow their sales. We improve the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.

The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.

We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.

Together we help each other develop our skillsets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.

From the beginning of Signifyd, the  R&D team has always had a strong contingent of remote folks, both individual contributors and leadership. The challenges of working remotely aren't new to us and we understand that a healthy remote work culture requires active investment. 

How you'll have an impact:

  • Research emerging fraud patterns in real-time with our Risk Intelligence team
  • Improve the important components of the Signifyd Commerce Protection Platform
  • Communicate complex ideas to a variety of audiences, including executives
  • Build production machine learning models that identify fraud
  • Write production and offline analytical code in Python
  • Work with distributed data pipelines
  • Collaborate with engineering teams to strengthen our machine-learning pipeline

Past experience you'll need:

  • A degree in computer science or a comparable analytical field
  • 3+ years of post-undergrad work experience required
  • Experience leading projects
  • Strong verbal and written communication skills
  • Strong machine learning and statistical background and a track record of being able to deliver under pressure.
  • Write code and review others' in a shared codebase in Python
  • Practical SQL knowledge
  • Design experiments and collect data
  • Familiarity with the Linux command line
  • This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun. While the number of shifts is subject to change, currently it works out to about six weekends a year.

Bonus points if you have:

  • Previous work in fraud, payments, or e-commerce
  • Data analysis in a distributed environment
  • Passion for writing well-tested production-grade code
  • A Master's Degree or PhD

Check out how Data Science is powering the new era of Ecommerce

Check out our Director of Data Science featured in Built In

#LI-Remote

Benefits in our US offices:

  • Discretionary Time Off Policy (Unlimited!)
  • 401K Match
  • Stock Options
  • Annual Performance Bonus or Commissions
  • Paid Parental Leave (12 weeks)
  • On-Demand Therapy for all employees & their dependents
  • Dedicated learning budget through Learnerbly
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • Short Term and Long Term Disability Insurance
  • Life Insurance
  • Company Social Events
  • Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

USA Base Salary Pay Range
$115,000$135,000 USD

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+30d

(Senior) Data Scientist

InstacartCanada - Remote
sqlDesignpython

Instacart is hiring a Remote (Senior) Data Scientist

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

OVERVIEW

 

About the Role

This is a general posting for multiple Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

 

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

 

ABOUT THE JOB

  • Own analytical frameworks that guide the product roadmap
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions
  • Develop statistical models to extract trends, measure results, and predict future performance of our product
  • Build simulations to project impact of various product and policy interventions
  • Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
  • Present findings in a compelling way to influence Instacart’s leadership

 

ABOUT YOU

Minimum Qualifications

  • 2+ years experience working in a quantitative role at a product company or a research organization
  • Ability to run rigorous experiments and come up with scientifically sound recommendations
  • Ability to write complex, efficient, and eloquent SQL queries to extract data
  • Ability to write efficient and eloquent code in Python or R
  • A desire to build and improve consumer software products
  • Ability to translate business needs into analytical frameworks
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

 

Preferred Qualifications

  • Awareness of business trade offs when working on a multi-sided marketplace 
  • Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field

 

OPEN ROLES:

Commerce Platform

In this role, you'll work to drive Instacart’s affordability through the promotion and adoption of retailer loyalty and discount programs. This will involve engaging in pricing strategy and optimizations at item, category, retailer, and geo levels to foster long-term growth. You'll evaluate the effects of platform performance improvements, such as latency reduction for ordering and invoicing. Someone with a background in Economics and/or Statistics will succeed on this team. 

Discover

The Discover team at Instacart aims to make it effortless for customers to effortlessly shop the food and products they need to power their lives. In this role, you’ll work closely with product, engineering, and machine learning partners across experimentation, product development, and model iteration. You’ll work with the team to identify opportunities to improve the customer shopping experience by balancing their needs to both shop efficiently and also discover new products they’ll love.

Ecosystems

This central unit is integral to supporting executive decision-making and company strategy. As a data scientist on the ecosystem team, you will be conducting analyses that span various parts of the business such as consumer, advertiser, retrailer, and more. You will engage closely with leaders across different functions. Your insights will play a crucial role in integrating new concepts into Instacart’s overarching business strategy. This  role is pivotal in evaluating Instacart's current operational health, forecasting its short-term trajectory, and guiding the development of its 2-3 year strategic plan.

Growth Systems

As a Data Scientist on the Growth Systems team, you will play a crucial role in shaping the trajectory of high-priority initiatives such as Marketing Investment Optimization, User Incentives Innovation, Data and Intelligence Foundation. Your responsibilities will include developing analytical frameworks and insights that inform product strategy, investment efficiency, prioritization, and operational excellence. Leveraging your level expertise, you will analyze user behavior, product performance, and market trends, providing recommendations that cut through ambiguity and collaborating cross-functionally to drive projects from conception to execution within this dynamic and innovative team.

Growth & Marketing Tech

Instacart's marketing data science team serves as thought partners and problem solvers for the Growth and Marketing orgs, supporting our broader mission to give everyone access to the food they love. We are responsible for understanding the end to end scope of growth marketing, including how marketing shapes and impacts customer behavior both today and in the long run, the efficiency and performance of any marketing technology we utilize, and what the highest ROI investments are in both marketing and marketing technology. We synthesize our insights and knowledge into actionable tactics, optimizations, and strategy within marketing.

#LI-Remote

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+30d

Data Scientist II

Master’s DegreeBachelor's degreesqlc++python

Oscar Health is hiring a Remote Data Scientist II

Hi, we're Oscar. We're hiring Data Scientists to join our team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless 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.

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience.

 

About the role

Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 50+ researchers, data scientists, and analysts to leverage our efforts!

We are looking for several new Data team members to join us in a few of our work streams. By applying to this posting, you will be considered for a top-priority open position within the Data team; a specific role and manager will be determined during the hiring process based on the highest priority need.

Example areas you might work in are:

  • helping determine what the best doctors are in service of our strategic goals
  • working to understand the best ways we and our clients can engage members to improve outcomes
  • identifying ways our in-house medical group can improve outcomes and reduce costs

You will report into a data science leader (Senior Data Scientist or above).

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: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Vermont, 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: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.

Responsibilities:

  • Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow without significant manager oversight.
  • Develop new models while maintaining and enhancing our existing capabilities. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices while identifying new opportunities to extend functionality where appropriate.
  • Develop advanced analytics and validation checks on data and statistical model outputs without significant manager oversight. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.
  • Collaborate closely with data leaders and business teams to enhance overall data processes and establish analytical frameworks to answer ambiguous and broadly scoped questions. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our processes and outcomes.
  • Compliance with all applicable laws and regulations.
  • Other duties as assigned.

Requirements:

  • A bachelor's degree and 3+ years of industry or educational experience in a technical field.
  • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
  • 3+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

Bonus points:

  • Master’s degree in a technical field
  • Experience deploying a machine learning model in production
  • Knowledge of standard machine learning methods
  • Experience building dashboards
  • Experience in the healthcare, insurance and/or finance industries

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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+30d

Data Scientist

Blend36Montevideo, Uruguay, Remote
sqlazurepythonAWS

Blend36 is hiring a Remote Data Scientist

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

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field. 
  • 3+ 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.
  • 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 3+ years' of experience in similar roles. 

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+30d

Senior Data Scientist

phDataUS - Remote
sqlpython

phData is hiring a Remote Senior Data Scientist

Job Application for Senior Data Scientist at phData

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+30d

Senior Planner

Bantrel Co.Toronto, Canada, Remote
oracle

Bantrel Co. is hiring a Remote Senior Planner

Job Description

We are currently seeking a qualified Senior Planner to join our Energy team, based out of enter location. The Senior Planner will be responsible for planning and scheduling different phases of engineering, procurement & construction primarily related to the Energy and Mining & Infrastructure Industries. You will also provide oversight to junior/ intermediate planners and have the opportunity to work on the Hatch Bantrel Joint Venture (HBJV) to execute engineering and construction on the BHP Jansen Potash Mine Project in Saskatchewan. Join usin this full time permanent role and be a champion of diversity and inclusion.

Duties & Responsibilities:

  • Directly interfaces with engineers, procurement specialists, construction supervision, and management as necessary at the planning stages of the project and during the execution of the project.
  • Directly interfaces with the Client Project Management team, when necessary, and provides appropriate solutions related to planning/ scheduling
  • Prepares Resource-loaded Baseline Schedules and Schedule Basis documents, detailing execution/ contracting strategies, assumptions,
  • Updates and maintains project schedules and progress and performance interfaces
  • Independently provides analysis and workarounds, when required, to mitigate schedule delays
  • Works with project controls counterparts – cost analysts & estimators – to  align schedules with estimate, cost and earned value progress systems
  • Reviews potential changes against project scope/ execution plans and provides inputs on schedule impact of scope changes and trends
  • Provides oversight to junior/ intermediate schedulers specifically related to interface with construction
  • Independently provides analysis and workarounds, when required, to mitigate schedule delays
  • Supports management of construction-to-commissioning and commissioning-to-operations interfaces
  • Working with the Team on Integrated Level-4/Level-5 schedules Construction to Pre-commissioning
  • Manages schedule interfaces between engineering, procurement and construction

Qualifications

  • An Engineering or Business degree AND/OR Relevant Qualification in the field of Planning/ Scheduling, Project Controls and Project Management
  • Minimum 12 years’ experience in the field of Planning and Scheduling
  • Minimum 4 years experience in preparation of construction schedules
  • Relevant experience in the field of cost control and monitoring
  • Work experience primarily in the Canadian oil, gas, petrochemicals and mining & infrastructure industries, preferably with Engineering or EPC Consultants
  •  Knowledge of CPM scheduling concepts
  • Advanced level of proficiency in Oracle Primavera P6
  • Must possess strong interpersonal, teamwork, and communication skills (both verbal and written)
  • Demonstrated skill in identifying, analyzing, and solving problems
  • Right to work and remain in the country of assignment

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+30d

Data Scientist - Web Engineer/Web Developer

Integrity Web ConsultingUniversity City, MO, Remote
wordpressmagentosasshtml5symfonygitcssjavascriptNode.jsPHP

Integrity Web Consulting is hiring a Remote Data Scientist - Web Engineer/Web Developer

Job Description

Must have:

  • Strategic thinkers and problem solvers
  • Excellent verbal and written communication skills
  • Strong self management
  • Enjoy a highly collaborative work environment
  • Desire and ability to learn on a daily basis
  • Firm understanding of object-oriented programming
  • Believes this is a craft, not just a job
  • Node.js, advanced Javascript, react.js, full stack if possible
  • PHP (Zend, Symfony) or other MVC framework
  • Experience with web CMS such as WordPress, DNN, Magento, etc.
  • LESS, SASS, etc.
  • Git, SVN or other version control system
  • HTML5, JavaScript, CSS, JSON experience
  • Experience with continuous integration
  • Bachelor's degree required, Master's preferred

Qualifications

Nice to have:

  • Familiar with agile/iterative software development
  • Ability to write unit tests
  • Experience with continuous integration
  • Cloud infrastructure experience
  • Will have live URLs of your work to reference
  • Must be able to collaborate effectively
  • Must be a proactive communicator
  • Must be able to get to extreme detail
  • Likely an excellent writer

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+30d

Data Scientist

Red Stamp MediaSan Jose, Costa Rica, Remote
Design

Red Stamp Media is hiring a Remote Data Scientist

Job Description

We are looking for a data scientist to turn raw data into valuable insights The position requires the ability to interpret and analyze data from multiple sources and come up with imaginative ways to visualize and create reports to create effective analytics to make informed business decisions.

Critical thinker with strong with communication skills. Reliable, self-motivated, shows initiative, and is able to work well within a team and independently.

Qualifications

Key Responsibilities

  • Extract data from primary and secondary sources and conduct data analysis to generate actionable insights
  • Develop and maintain databases, data systems – reorganize data in a readable format
  • Design charts and tables that can easily show the key messages presented to different audiences.
  • Filter Data by reviewing reports and performance indicators to identify and correct problems
  • Assign numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
  • Prepare reports for management: stating trends, patterns, and predictions using relevant data
  • Work with engineers, designers and project managers to create engaging and insightful business reviews and reports

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+30d

Healthcare Data Scientist

John Snow LabsRemote, OTHER, Remote
python

John Snow Labs is hiring a Remote Healthcare Data Scientist

Job Description

We are looking for a superstar data scientist, who is familiar and experienced with applying machine learning and deep learning in the area of healthcare. This role requires proven hands-on experience training and optimizing models, building production-ready inference pipelines in Python, performing exploratory data analysis & enrichment, and validating models for issues like bias, overfitting, and concept drift.

Since we primarily work in healthcare and life science, background in medicine, pharma, bioinformatics, or biostatistics is highly beneficial. A PhD degree in a relevant field is preferred.

Qualifications

The primary responsibilities will be working as part of a team in customer-facing projects - building models and machine learning, deep learning, natural language processing, and time series forecasting pipelines that address specific business needs. Working knowledge of Python and TensorFlow are a must; experience with Spark, Spark NLP, and other technology stacks is a big plus. The customer facing aspect of this role also requires strong oral & written communication skills.

We are looking for experts who are looking for long-term freelancing contracts, and wish to work on cutting-edge problems, learn and grow. This role for individuals who can commit at least 30 hours per week to this project. We are not able to consider agency or team applications.

This is a career opportunity that will enable you to expand your knowledge and experience of different tools and techniques, work within a team of big data and data science experts, and make a positive impact with your work. If you quality and are interested, please include the words 'John Snow Labs' in your cover letter and explain why you are the best fit for this role.

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+30d

Lead Data Scientist

DemandMatrixPune, India, Remote
nosqlsqlelasticsearchpythonAWS

DemandMatrix is hiring a Remote Lead Data Scientist

Job Description

We are looking for a Lead Data Scientist to lead a technical team to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus is to work with the team to drive multiple initiatives for applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products in the domain of technographics and problems like buyer's journey, Technology Adoption Models (TAM)

Responsibilities:

· Run CRISP-DM projects with a team of 3 data scientists in the following -

· Selecting features, building and optimizing classifiers (logistic regression or RF based propensity models) and recommenders using machine learning techniques

· Data mining using state-of-the-art methods - Automate scoring using machine learning techniques, build recommendation systems, improve and extend the features used by recommendation and propensity modeling algos,

· Extending company’s data with third party sources of information when needed

· Enhancing data collection procedures to include information that is relevant for building analytic systems

· Processing, cleansing, and verifying the integrity of data used for analysis and perform deep EDA (we create our own training data for our models)

· Doing ad-hoc analysis and presenting results in a clear manner

· Creating recommended and propensity models and tracking of its performance especially to compensate for concept drift

Qualifications

· Hands on machine learning techniques and algorithms, such as k-NN, Naive Bayes, Ensemble methods XGBoost, Decision Forests and working towards deep learning methods using TensorFlow especially for NLP like word embeddings and topic discovery

· Hands with common data science toolkits, such as Python, scikit learn, numpy, pandas, plotly, TensorFlow, ElasticSearch, Auto-ML platforms like AWS Sagemaker

· Solid proficiency in using query languages such as SQL, Experience with NoSQL databases, such as Elasticsearch and Graph DBs as Neo4j

· Good understanding of applied statistics skills, such as distributions, statistical testing, regression and strong EDA skills

· Data-oriented personality with strong sense of appreciating the business domain of your work e.g.

· Interest in working in tech domain e.g. data center analytics, understanding of macro factors in market for computing, software and cloud adoptions

· Experience of 5+ years

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+30d

Data Scientist

Key Cyber SolutionsRichmond, VA, Remote
python

Key Cyber Solutions is hiring a Remote Data Scientist

Job Description

As a Data Scientist at Key Cyber Solutions, your primary responsibility will be to analyze and interpret complex data sets to uncover insights, trends, and opportunities that can guide business strategies and decisions.

Responsibilities:

  1. Data Analysis and Interpretation: Analyze large and complex data sets, identifying patterns and correlations that offer meaningful insights.
  2. Model Development: Develop predictive models and algorithms to support various business functions and initiatives.
  3. Collaboration: Collaborate with cross-functional teams, including product development, marketing, and operations, to ensure alignment of data-driven projects.
  4. Visualization: Create clear and engaging visualizations to represent data insights for technical and non-technical stakeholders.
  5. Continuous Learning: Stay abreast of the latest industry trends, technologies, and methodologies in data science.
  6. Reporting and Communication: Clearly communicate findings, insights, and recommendations to stakeholders at all levels of the organization.

Qualifications

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years of experience in data analysis, machine learning, or related fields.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of statistical analysis, data mining, and machine learning algorithms.
  • Experience with data visualization tools and libraries.

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+30d

Senior Data Scientist (H/F)

Business & DecisionToulouse, France, Remote
vueazurec++pythonAWS

Business & Decision is hiring a Remote Senior Data Scientist (H/F)

Description du poste

L’équipe de B&D (Orange Business) Toulouse recherche son/sa futur(e) Data Scientist pour rejoindre sa team Data.

Ton quotidien ?

En intégrant Business & Decision (Orange Business), tu peux participer à une grande diversité d’activités dans la Data. En voici un aperçu :

  • Au démarrage du projet :
    • Recueillir et analyser les besoins du client
    • Analyser l’écosystème Data du client et en déduire la faisabilité du projet
    • Estimer les charges
  • Pendant la phase de réalisation :
    • Analyse exploratoire et statistique de la donnée
    • Savoir utiliser et intervenir sur les pipelines de données
      • Développer les procédures d’alimentation et de labellisation
      • Structurer la donnée en vue de répondre aux besoins du modèle
    • Développer des modèles de statistiques et d’apprentissage machine
    • Evaluer la performance des modèles
    • Valoriser les travaux par des visualisations
    • Mettre en production, mise en place du monitoring des modèles (MLOPS)

Tu interviens dans divers environnements, concernant :

  • Les technologies : Python, R, torch, tensorflow, JAX, scikit-learn, etc.
  • Les domaines d’application : NLP, Computer Vision, audio processing
  • Les méthodes de Machine Learning : Deep Learning, clustering, classification, régression, optimisation, indexation
  • Les éditeurs : GCP, Azure, AWS, Alteryx, Dataiku, Denodo, Knime, etc.

En fonction de ton évolution et de nos enjeux, tu peux aussi évoluer sur des missions transverses (conseil, coaching, avant-vente, formation, audit, etc.). La prise d’initiative est toujours la bienvenue !

Qualifications

Tu as une expérience d'au moins 5 ans dans la mise en œuvre de projets Data Science / IA. Tu as déjà mené des analyses exploratoires, développé des modèles statistiques / de Machine Learning et tu as mis en production tes travaux.
 
Avoir déjà travaillé sur des projets de NLP ou de Computer Vision est un plus à ta candidature. 
Envie d’apprendre de nouvelles technos ? Tu souhaites partager tes compétences et bénéficier des expertises de la Team B&D ?
Nous recrutons sur profil. Outre l’aspect technique, c’est une personnalité qui est recherchée. N’hésite pas à postuler !

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+30d

Senior Data Scientist, Product

AjuaNairobi, Kenya, Remote
sqlDesignpython

Ajua is hiring a Remote Senior Data Scientist, Product

Job Description

Ajua is a Silicon Valley backed start-up and Africa’s first Integrated Customer Experience (#IntergratedCX) company driving business growth and giving consumers options on the continent.
The Data Science team is responsible for ensuring that the Ajua products are best in class in not only solving our customers' problems but propelling them into the future by understanding their customers better than they ever have. We are looking for a Senior Data Scientist who will build, deploy and monitor analytics and machine learning capabilities into the Ajua products while ensuring scientific rigour and statistical methods to the many challenges of Integrated Customer Experience Product creation and improvement.

Key Responsibilities:
 

  • Frame business requirements and objectives as succinct data science problems.

  • Extraction, cleaning and transformation of relevant data for different Integrated Customer Experience Problems for analysis, modelling and reporting.

  • Implement and deploy robust, state-of-the-art analytics and machine learning models across the Ajua Product Stack, directly impacting merchants and enterprise customers.

  • Work with product teams to translate product feature requirements and use cases into experiments, and lead with the design, development, analysis and reporting of results, leading to decisions that directly impact customers.

  • Actively pursue improving data science skills, including but not limited to problem-solving, writing readable/testable/efficient code, mastering Integrated Customer Experience Data, and learning to anticipate Customer and Data related product issues and needs - always staying ahead of the customer.

  • Actively participate in internal Data Science and broader technology project reviews and participate in community meet-ups.

  • Collaboratively work with the engineering, products, and customer success teams and communicate clearly and effectively regardless of seniority.

Qualifications

  • 3+ years industry or academic experience in data science and machine learning.

  • Bachelors/Masters in Computer Science, Statistics, Applied Mathematics, or Engineering.

  • Highly Fluent in Python and SQL

  • Proficient with Python data science libraries (numpy, scipy, spacy, etc.)

  • Basic understanding of R (The team works using both Python and R)

  • End to end Statistics and probability understanding and rigour.

  • Clear, and demonstratable/explainable comprehension of the fundamentals of learning algorithms.

  • Natural Language Processing experience a huge plus.

  • Familiarity with deep learning frameworks - Tensorflow, PyTorch, etc.

  • A record of published patents and/or peer-reviewed conference/journal publications will be considered a big plus. (Contribution of new knowledge/implementation of new knowledge in innovative ways through any of the above ways, is a key requirement.)

  • Ability to continuously review machine learning publications and scientific development, pick out what can be implemented and experiment to drive Ajua's innovation.

  • Experience working on a team or in a group academic setting and demonstrated ability to collaborate well across teams

  • Ability to anticipate how contributions can affect larger Data product delivery, developing risk mitigation and contingency plans

  • Demonstrated excellent communication skills with technical and non-technical teammates and a high level of emotional and professional maturity.

  • Ability to work seamlessly with Engineering, product and the Data Team to ensures Data-driven products launch smoothly and customer needs are met.

  • Ability to Monitor the outcomes of the team’s actions to learn from mistakes and replicate successes.

  • A connection to Ajua’s mission and values

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+30d

Data Scientist

AmpleInsightIncToronto, Canada, Remote
python

AmpleInsightInc is hiring a Remote Data Scientist

Job Description

We are looking for Data Scientists who are passionate about Machine Learning, and have deep knowledge in Statistics and Computer Science. You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. We will also rely on you to build data products to extract valuable business insights. Critical thinking and problem-solving skills are essential for this role.

Qualifications

  • BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
  • Experienced implementing and scaling machine learning models in production environments 
  • Strong understanding of machine learning theory
  • Hands on experience with Statistics
  • Capable of quickly implementing prototypes of cutting-edge research papers
  • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
  • Analytical mind and strong business acumen

If you're passionate about data science and is hungry to learn, please apply!

 

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AmpleInsightInc is hiring a Remote Data Scientist - Data Analytics and Infrastructure

Job Description

We are looking for Data Scientists who are passionate about analytics and using data to help drive business decisions. You enjoy working with structured and/or unstructured data and are motivated to produce highly actionable results. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.

Qualifications

  • BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
  • Hands on experience working with user engagement, social, marketing, and/or finance data
  • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
  • Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
  • Deep knowledge on performance tuning of ETL Jobs, SQL, and databases
  • Analytical mind and strong business acumen
  • Working knowledge of Snowflake
  • Devops experiences a plus

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