Senior Data Scientist, Product Job at Mozilla (Remote)

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Data Scientist, Product Growth

Khan Academy is looking for a senior data scientist to play a critical role in o...

Location

United States , Mountain View

Salary:

137871.00 - 155105.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.”
Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
Background in applied math, statistics, economics, or a related technical field
5+ years of experience in data science or analytics
Proficient with statistical techniques (i.e., multiple regression, causal inference, AB testing, hypothesis testing) for real-world applications
Advanced SQL foundations & ability to manipulate data using R or Python
Compelling data storytelling and visualization (i.e. Looker) with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgment, with a knack for asking the right questions to drive impact

Job Responsibility

Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features
Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics
Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments
Use your expertise with statistical techniques to quantify the impact of various features, programs, and interventions
Share results of analyses to non-technical audiences in ways that help them develop insights about our offerings
Contribute to the development of self-service analytics tools to enhance data access for the product team
work with our engineering teams to improve our tools and datasets

What we offer

Competitive salaries
Ample paid time off as needed
8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost
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
401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

Fulltime

Senior Data Scientist, Product

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

179000.00 - 210000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Proven expertise in data science, with a strong background in statistical analysis and machine learning
Outstanding problem-solving skills and the ability to think critically and creatively
Strong programming skills in Python & SQL, or other relevant languages
Experience with data visualization tools and techniques
Ability to successfully implement projects and compete in a fast-paced environment
PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models

Job Responsibility

Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
Define and maintain key product performance metrics
build scalable dashboards to monitor these metrics and advise decision-making
Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
Assist with established methods, standard approaches, and promote a data-informed culture within the organization

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Senior Data Scientist - AI Modeling

As a Senior Data Scientist - AI Modeling at Baxter, you will work on creating an...

Location

United States

Salary:

104000.00 - 143000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field
4+ years of professional experience with a variety of data products / data science model / algorithm development and implementing in production
Software development experience
Experience with healthcare data and working in a HIPAA regulated environment preferred
Experience with varying database structures and large datasets preferred
Experience with modern data science tools, such as Spark, Scala, Python, Databricks
Experience in Microsoft Azure cloud environment is preferred
Proficiency with developing data visualization technology and capabilities (i.e., Power BI, Tableau)
Brings a drive for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers
Passionate about working on a high-performance team toward a multi-year vision with incremental deliverables

Job Responsibility

Responsible for the development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems and optimize user experiences
Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services
Predictive and generative AI Modeling
Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems)
Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights
Prepare data for effective model training
Develop, train, and evaluate predictive AI models using various tailored to specific problems
Continuously refine and optimize models for performance, scalability, and efficiency
Deploy models into production environments and supervise their performance
Identify opportunities where generative AI models can add value

What we offer

Comprehensive medical and dental coverage starting on day one
Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident
Employee Stock Purchase Plan (ESPP) with discount
401(k) Retirement Savings Plan with employee contributions and company matching
Flexible Spending Accounts
Educational assistance programs
Paid holidays
Paid time off ranging from 20 to 35 days based on length of service
Family and medical leaves of absence
Paid parental leave

Fulltime

Senior Data Scientist

We are seeking a highly experienced and motivated Senior Data Scientist to join ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 8–14 years of relevant experience

Job Responsibility

Lead the design, development, and deployment of advanced analytics, statistical models, and machine learning solutions to generate actionable insights that enhance compliance monitoring, auditing, and risk assessment
Manage and oversee data science projects end-to-end, including project scoping, planning, execution, and delivery
ensure quality control (QC) and validation of work produced by junior data scientists
Develop scalable, automated data pipelines and AI-driven analytics products to improve efficiency and accuracy in audit and compliance processes
Partner with cross-functional stakeholders across Compliance, Internal Audit, Commercial, R&D, and Information Systems to design and implement analytics solutions aligned with business priorities
Access, integrate, and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify trends, anomalies, and compliance risks
Serve as a technical and analytical mentor to data scientists and analysts, promoting best practices in data science methodology, documentation, and reproducibility
Stay current with emerging technologies and techniques, including generative AI, agentic AI, and automation frameworks, to continuously advance analytical capabilities
Effectively communicate complex analytical concepts and findings to both technical and non-technical audiences, including senior leaders
Contribute to strategic planning and roadmap development for analytics initiatives within Compliance and Internal Audit

What we offer

competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Senior Data Scientist

We’re looking to add a Senior Data Scientist to the Loom Product team to help us...

Location

United States , San Francisco

Salary:

175100.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience in an analytics role turning data into insights and recommendations
Strong analytical and communication skills with the ability to synthesize insights into compelling stories
Experience with the SaaS customer lifecycle from acquisition to retention
Experience with designing and analyzing experiments
Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets
Experience with a Business Intelligence tool (e.g. Tableau or Hex)
Experience with a statistical scripting language (e.g. R or Python) is a plus

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Data Scientist

We are looking to add a Senior Data Scientist to work on Marketing Funnel analyt...

Location

United States , Mountain View; San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

5+ Years of Experience in Data Science or related fields
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
Ability to craft analysis into well-written and persuasive content

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian

What we offer

Health and wellbeing resources
Paid volunteer days
Equity
Competitive compensation programs

Fulltime

Senior Data Scientist

Join Atlassian's Data Science team to collaborate with Product Managers, Researc...

Location

United States , San Francisco

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science or related fields
proficiency in SQL and another data manipulation programming language (e.g. Python, R)
expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
ability to craft analysis into well-written and persuasive content

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
partner with cross-functional teams to inform, influence, and execute strategy decisions
identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian

What we offer

Health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Scientist, Product

Mozilla

Location:
United States , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 23, 2026

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