Data Scientist
Roku, Inc.
New York, United States of America
4 days ago
Role details
Contract type
Permanent contract Employment type
Part-time (≤ 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 170KJob location
Remote
New York, United States of America
Tech stack
A/B testing
Artificial Intelligence
Data analysis
Data Visualization
Cursor (Graphical User Interface Elements)
Database Queries
Toolchain
Unstructured Data
Prophet
Multi-Agent Systems
Data Analytics
Data Management
Looker Analytics
Data Pipelines
Job description
- When you join our Core Analytics Team, you become part of a centralized hub of analytics excellence
- This team provides the unique opportunity to work alongside a world-class peer group, leveraging centrally maintained tools and resources to drive impactful results
- We emphasize continuous learning and development, ensuring team members are always growing their skills and expertise
- Collaborating closely with Engineering, Ptroduct, and Business teams, we deliver data-driven insights and innovative capabilities that guide our stakeholders, shape our strategies, and enhance the experiences of Roku's users globally
- Roku is seeking a Senior Data Scientist to join the Core Analytics team with a focus on Ad Quality and Ad Products
- In this role, you will partner with business stakeholders, product managers, and engineers to solve complex analytical problems and deliver actionable insights that influence strategic business decisions
- You will own end-to-end problem solving, from identifying trends and developing measurement frameworks to designing A/B tests and leveraging causal inference methods
- A core part of your work will involve building data pipelines, dashboards, and automated reports to ensure high ad quality and strong ad performance across the Roku platform
- You will translate complex technical findings into compelling data stories that provide strategic recommendations to executive leadership and cross-functional partners
- The ideal candidate brings strong analytical depth, clear communication skills, and a proactive approach to identifying opportunities that accelerate business growth
- At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability
- We value your AI skills if have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you
- Build reporting data pipelines and dashboards to ensure stakeholders can access accurate, timely, and actionable insights
- Design and execute A/B tests and apply causal inference methods to measure impact and inform product decisions
- Partner directly with stakeholders to understand key business questions that improve Ad Quality and accelerate the evolution of Ads Products
- Analyze structured and unstructured data and communicate insights to help stakeholders identify trends and make data-driven decisions
- Develop analytics tools, models, alerts, and testing frameworks to measure Ad Quality and Ads Product metrics and inform business strategies
- Deliver presentations that clearly and effectively communicate findings and recommendations to stakeholders and executive audiences
- Translate complex technical topics into clear business recommendations
- Provide feedback to leadership and stakeholders across the company on the performance of various initiatives and untapped opportunities
Requirements
- The ideal candidate brings strong analytical depth, clear communication skills, and a proactive approach to identifying opportunities that accelerate business growth
- Strong SQL skills and experience with business intelligence tools such as Looker
- Experience with R or Python for data analysis and modeling
- A proactive approach to identifying opportunities and proposing solutions
- Strong communication and presentation skills with data visualization and action-oriented narrative for stakeholder and executive audiences
- Deep knowledge of experimental design and causal inference methods, including expertise in A/B testing
- Ability to work independently and manage relationships with stakeholders across multiple teams
- Experience with advertising systems, programmatic advertising, and advertising identity
- Experience with forecasting models such as SARIMA, Prophet, TFT, or similar approaches
- Experience in data management, analytics, data science, and reporting
- A bachelor's degree and 5+ years of advanced analytics experience, or a master's/Ph.D. with 3+ years of experience
Benefits & conditions
- Medical, wellness and financial benefits
- Free snacks and access to the company fitness center
- Unlimited paid time off policy
- Work from home opportunities