Work/Project Scope:

• Become the authority on user behavior analysis for our Ads and Monetization team, applying data science techniques and analytical skills to unearth deep insights on the marketplace.
• Work with engineering and product on data pipelines to ensure business impacts can be tracked efficiently in complex environments.
• Define the metrics teams use to evaluate their success, perform analysis to understand the impact on growth and track progress toward those results.
• Design and evaluate tests to ensure we track the causal impact from product changes on business rigorously.
• Present in key meetings and business reviews with our product leadership.
• Tackle complex problems inherent to a double-sided marketplace. Deliver insights that drive changes in team strategy using SQL, Python, R, and/or other scripting and statistical tools.

Must-Have Skills:

• Strong SQL skills.
• Proficiency in any data orchestration and scheduling job tools (such as  AirFlow, DBT, Rundeck, or Argo).
• Experience in data modeling, data design, ETL (extract, transform, and load), or star schema is a plus.
• Experience working as an analytics engineer is a plus.
• Proficiency in R, Python, or other programming languages for statistical analysis is a plus.
• Experience working with BI visualization tools (such as Looker) is a plus.
• Experience working with two-sided marketplaces, ads, or auctions is a plus.

THE COMPANY:

Juul Labs’ mission is to impact the lives of the world’s one billion adult smokers by eliminating combustible cigarettes. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.

We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career at one of the fastest growing companies is compelling, read on for more details.

ROLE AND RESPONSIBILITIES:

Product analytics at Juul Labs means working with varied, messy data sets and applying analytical methods to help inform and drive business and product decisions. We are looking for output-focused problem solvers with a strong conceptual mindset and superb communication skills.

The team sees itself as analytics generalists - we choose the right technique for each problem, pride ourselves on building beautiful systems and dashboards while moving fast, and are ultimately driven by the value and insight we can generate for the business and our customers.

The Data Scientist role offers tremendous upwards exposure towards senior business leaders and the chance to truly impact the decision making across the company.

KEY RESPONSIBILITIES:

• Build predictive models and algorithms to improve JUUL products
• Use advanced statistical techniques to analyze data and drive better decision making
• Analyze data to create a deeper understanding of Juul’s users and their behavior
• Identify opportunities for product improvement and optimization
• Work through open-ended questions to distill value and support product development
• Present findings to key leadership to influence product roadmaps
• Support developer teams with instrumentation and reliability insights

PERSONAL AND PROFESSIONAL QUALIFICATIONS:

• 5+ years of analytics experience at a consumer/enterprise product company
• An understanding of various components of an end-end data stack (GCP, BigQuery, Airflow, Fivetran, dbt, Tableau, Mode)
• Experience developing predictive models and algorithms, using python & SQL to optimize business processes and improve customer experiences
• Experience designing and implementing experiments utilizing advanced statistical techniques to measure the impact of interventions and optimize strategies
• Experience utilizing business intelligence tools to distill results into simple, clear visualizations
• Ability to collaborate closely with team members as well as cross-functionally to ensure alignment with business goals and client expectations
• Ability to operate semi-autonomously on day-to-day projects, with light manager course-correction
• Ability to communicate sophisticated data science concepts and complex findings in an understandable manner to non-technical stakeholders
• Ability to independently manage time to deliver on timelines, including understanding switching costs

EDUCATION:

• University Degree or Advanced Degree in Math, Business, STEM, etc.

JUUL LABS PERKS & BENEFITS:

• A place to grow your career. We’ll help you set big goals - and exceed them
• People. Work with talented, committed and supportive teammates
• Equity and performance bonuses. Every employee is a stakeholder in our success
• Cell phone subsidy, commuter benefits and discounts on JUUL products
• Excellent medical, dental and vision benefits

Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Juul Labs in the US. #LI-remote

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.

In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform for the emerging Data Science workload throughout an organization.

As a Senior Architect focused on Machine Learning you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

IN THIS ROLE YOU WILL GET TO:

• Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work with our sales teams, product management, and partners to drive innovation in our Cloud Data Platform and adoption of Snowflakes core ML and GenAI technologies
• Partner with sales team and channel partners to understand the needs of our customers,  strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts 
• Collaborate closely with our Product team to effectively influence the Snowflake’s product roadmaps based on field team and customer feedback
• Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables,  conferences, events, blogs, webinars, and whitepapers

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• 5+ years of experience building and deploying machine learning solutions in the cloud 
• Deep technical hands on expertise within Data Science tools and ecosystem 
• 2+ years of working with cloud native ML tools 
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Working knowledge with data engineering technologies and tools (dbt, Airflow, etc)
• Expert level knowledge of Data Science and ML fundamentals
• Working knowledge of deep learning concepts, techniques, and tools (Pytorch, Tensorflow, etc). 
• 2+ years experience building and deploying ML and data engineering applications and solutions on Spark
• Expert level knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
• Working knowledge of SQL
• Introductory familiarity with LLM developer tools like langchain or LlamaIUndex 
• Industry Focus a plus (Financial Services, Healthcare & Lifesciences, Media, Retail / CPG, Manufacturing, Insurance, Technology and Telecom, or Federal)
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

About the Data Platform Team

Data is the lifeblood of modern companies, and for a two-sided digital marketplace like Thumbtack, even more so. The Data Platform team is a central team of software engineers who employees with various backgrounds can easily build pipelines, systems, and models, all while keeping Customer and Pro privacy in mind. You’ll work deeply with Data Scientists, Machine Learning Engineers, and other Software Engineers from across the company as customers, and collaborate closely with the Site Reliability and core service Engineering teams as partners.

Challenge

In 2024, Thumbtack is significantly investing in Data initiatives and the Engineering teams that support them, as a strategic growth area for the company. While there are interesting and difficult challenges across the entire focus area, this team is specifically poised to build the deep technological foundation to empower all others. It’s highly-leveraged, intricate and interesting work for the right type of engineer. We are the caretakers and creators of the foundational building blocks of the modern Thumbtack data system, and we need your help to build and deliver that

Responsibilities

• Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle across Engineering
• Work with the Data Engineering and Machine Learning teams as stakeholders to identify gaps in our current capabilities, and help build and execute on a multi-year roadmap to close them
• Directly work with teams consisting of product engineers, analysts, data scientists, machine learning engineers throughout the company to understand their data needs, and make recommendations both how to build to their needs, but also to build processes and knowledge bases to support them
• Drive data quality and best practices across the company
• Help build the next generation of marketing data products at Thumbtack, based on real-time data products on top of Apache Kafka

Must-Have Qualifications

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

• 5+ years of experience in software engineering, at least 2 of which focused in the data domain
• Excellent ability to understand the needs of, and collaborate with, stakeholders in other functions, especially other Engineering teams
• Strong fluency in at least one major programming language and would be able to switch between multiple languages. Thumbtack’s main production stack is Go, however we tend to use Python with some Scala
• Experience designing, architecting, and maintaining data systems that serve deeply technical customers
• Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance

Nice-to-Have Qualifications

• Experience building ETL data pipelines in a modern programming language, like Python or Scala, ideally with Apache Airflow
• Understanding of database internals and query optimization
• Experience working with semi-structured or unstructured data in a data lake or similar
• Experience working in engineering at a two-sided marketplace or B2C technology company
• Experience mentoring and coaching data engineers and/or analysts

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines.* Learn more about our virtual-first working model here.

About JWP:

JWP is transforming the Digital Video Economy as a trusted partner for over 40,000 broadcasters, publishers, and video-driven brands through our cutting-edge video software and data insights platform. JWP empowers customers with unprecedented independence and control over their digital video content. Established in 2004 as an open-source video player, JWP has evolved into the premier force driving digital video for businesses worldwide. With a rich legacy of pioneering video technology, JWP customers currently generate 8 billion video impressions/month and 5 billion minutes of videos watched/month. At JWP, everyone shares a passion for revolutionizing the digital video landscape. If you are ready to be a part of a dynamic and collaborative team then join us in shaping the future of video! 

The Data Engineering Team: 

At JWP, our data team is a dynamic and innovative team, managing the data lifecycle, from ingestion to processing and analysis, touching every corner of our thriving business ecosystem. Engineers on the team play a pivotal role in shaping the company's direction by making key decisions about our infrastructure, technology stack, and implementation strategies. 

The Opportunity: 

As a Senior Data Engineer, you will:

• Contribute to the development of distributed batch and real-time data infrastructure.
• Mentor and work closely with junior engineers on the team. 
• Perform code reviews with peers. 
• Lead small to medium sized projects, documenting and ticket writing the projects. 
• Collaborate closely with Product Managers, Analysts, and cross-functional teams to gather insights and drive innovation in data products. 

Requirements for the role:

• Minimum 5+ years of backend engineering experience with a passionate interest for big data.
• Expertise with Python or Java and SQL. 
• Familiarity with Kafka
• Experience with a range of datastores, from relational to key-value to document
• Demonstrate humility, empathy, and a collaborative spirit that fuels team success. 

Bonus Points:

• Data engineering experience, specifically with data modeling, warehousing and building ETL pipelines
• Familiarity with AWS - in particular, EC2, S3, RDS, and EMR
• Familiarity with Snowflake
• Familiarity with Elasticsearch
• Familiarity with data processing tools like Hadoop, Spark, Kafka, and Flink
• Experience with Docker, Kubernetes, and application monitoring tools
• Experience and/or training with agile methodologies
• Familiarity with Airflow for task and dependency management

Perks of being at JWP, United States

Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success! 

As a full time employee, you will qualify for:

• Private Medical, Vision and Dental Coverage for you and your family
• Unlimited Paid Time Off
• Stock Options Purchase Program
• Quarterly and Annual Team Events
• Professional Career Development Program and Career Development Progression
• New Employee Home Office Setup Stipend
• Monthly Connectivity Stipend
• Free and discounted perks through JWP's benefit partners
• Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
• Fireside chats with individuals throughout JWP

*Benefits are subject to location and can change at the discretion of the Company. 

Check out our social channels:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Overview

At Instacart, our mission is to create a world where everyone has access to the food they love and more time to enjoy it together. Millions of customers every year use Instacart to buy their groceries online, and the Data Engineering team is building the critical data pipelines that underpin all of the myriad of ways that data is used across Instacart to support our customers and partners.

About the Role 

The Finance data engineering team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart’s products. This role is an exciting opportunity to join a key team shaping the post-IPO financial data vision and roadmap for the company.

About the Team 

Finance data engineering is part of the Infrastructure Engineering pillar, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. Our team collaborates closely with product teams to capture critical data needed for financial use cases.

About the Job 

• You will be part of a team with a large amount of ownership and autonomy.
• Large scope for company-level impact working on financial data.
• You will work closely with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
• You will ship high quality, scalable and robust solutions with a sense of urgency.
• You will have the freedom to suggest and drive organization-wide initiatives.

About You

Minimum Qualifications

• 6+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines.
• Expert with SQL and  knowledge of Python.
• Experience building high quality ETL/ELT pipelines.
• Past experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Experience building data pipelines for accounting/billing purposes.
• Experience with cloud-based data technologies such as Snowflake, Databricks, Trino/Presto, or similar.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• A strong sense of ownership, and an ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor’s degree in Computer Science, computer engineering, electrical engineering OR equivalent work experience.
• Experience with Snowflake, dbt (data build tool) and Airflow
• Experience with data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo etc

#LI-Remote

​​About the Role:

As a Manager of Product Analytics you and your team will shape the customer experience through high quality experimental design and hypothesis testing. You will work cross-functionally with product managers, growth leads, and marketing managers in a fast paced collaborative environment. Your knowledge of A/B testing and digital analytics combined with your background in experimental design will allow Hims and Hers to build best-in-class customer experiences. This position will report to the Senior Manager of Product Analytics.

You Will:

• Build best-in-class customer experiences by testing into sticky product experiences
• Build business-facing dashboards and do in-depth analyses that state both the statistical significance and the business impact of an experiment
• Work with your team to define and curate the experimentation roadmap for the product and growth teams
• Enable data self-service by designing templates that are easy to understand using relevant KPIs
• Define the success of tests as well as recommended improvements to the product from the results
• Collaborate cross-functionally across analytics teams, engineering teams, and the growth team to improve the customer experience
• Distill our knowledge of  tests into playbooks, that can be implemented and utilized to help us transform our digital experience
• Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
• Partner with cross-functional teams including product, engineering, growth, and finance to align analytics initiatives with business objectives
• Conduct deep-dive analyses to answer specific business questions and provide actionable recommendations to product, marketing, and operational teams

You Have:

• 5+ years of analytics experience
• 4+ years of experience in A/B testing
• Experience working with subscription metrics
• Experience working with CRM data and lifecycle communication
• A strong work ethic and the drive to learn more and understand a problem in detail
• Strong organizational skills with an aptitude to manage long-term projects from end to end
• Strong SQL skills 
• Expert working with GitHub
• Experience programming in Python, SAS, or R 
• Experience in data modeling and statistics with a strong knowledge of experimental design and statistical inference 
• Advanced knowledge of data visualization and BI in Looker or Tableau
• Ability to explain technical analyses to non-technical audiences

A Big Plus If You Have:

• 6+ years of analytics experience
• Advanced degree in Statistics, Mathematics, or a related field
• Experience with incentives and loyalty programs
• Experience with price testing and modeling price elasticity
• Experience with telehealth concepts
• Project management experience 
• Extensive experience working with Data Engineering
• Model development and training (Predictive Modeling)
• DBT, airflow, and Databricks experience

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

​​About the Role:

As an Analyst on the Marketing Analytics team at Hims & Hers, you would be responsible for analyzing marketing campaign performance, implementing measurement and attribution strategies, and delivering insights and recommendations around business growth drivers. You will partner cross-functionally with Engineering, Product, and Marketing to drive acquisition and customer value growth for the business.

You Will:

• Analyze detailed marketing campaign performance, customer data, and business growth levers to identify insights and tactical recommendations
• Investigate the root causes of data anomalies and trends
• Present key findings and recommendations to a wide range of audiences
• Develop and automate dashboards and reporting that are critical to business stakeholder decision-making
• Contribute to marketing attribution models and measurement initiatives such as test planning and design
• Enable and evangelize self-service analytics through which we empower stakeholders to explore data and perform high-level analysis

You Have:

• 1-3+ years experience as an analyst, writing complex queries, visualizing results, and delivering insights
• Bachelor's degree in Business Administration, Marketing, Computer Science, Engineering, or related field, or relevant years of work experience
• Strong SQL skills are a requirement; must be able to understand and author complex SQL queries, understand database schemas, and optimize query performance
• Hands-on experience working with a modern analytics tech stack spanning comparable tools across the following categories:
• Business intelligence/reporting tools: (Looker, Tableau, Mode, etc.)
• Data warehouses: (Google BigQuery, AWS, Snowflake, etc.)
• Scheduling or orchestration: (dbt, Airflow, etc.)
• An understanding of the marketing business domain, particularly applications such as conversion lift testing, multi-touch attribution, and Marketing Mix Modeling (MMM)
• Experience with web analytics (e.g. Amplitude, Google Analytics, etc.) and app analytics tools (e.g. Branch, AppsFlyer, etc.)
• Familiarity with statistical experimentation and A/B testing principles
• Python proficiency preferred: familiarity with Jupyter notebooks, pandas, scikit-learn, etc.
• Results-oriented with strong project management and communications skills

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote