Sr. Data Scientist
About the team
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico. The Core Analytics Team provides analytics excellence, working closely with Engineering, Product, and Business teams to deliver data-driven insights.
About the role
Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting UI Originals initiatives. This role involves applying data science and analytics to shape content experiences, working with stakeholders to align initiatives with organizational goals, and delivering insights that inform product and business decisions.
Responsibilities
- Collaborate with stakeholders to align data science initiatives with organizational goals and product strategy
- Design, execute, and interpret A/B tests to evaluate product changes and inform decision-making
- Translate complex analyses into clear narratives, dashboards, and recommendations for leadership and partner teams
- Develop and maintain dashboards, reports, and data visualizations to monitor key business, operational, and system health metrics
- Analyze structured and unstructured data to uncover insights, identify trends, and support data-informed decisions
- Develop data pipelines that power automation, validation, and reporting
- Perform exploratory data analysis on emerging trends across the Roku platform
- Collaborate with Program Management and Engineering partners to gather feedback and continuously improve solutions
- Provide leadership with actionable insights on initiative performance and future opportunities
Requirements
This role requires 5+ years of professional experience with a bachelor's or master's degree in a quantitative field such as Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science. Strong SQL skills and experience with analytical or programming languages such as Python, R, SAS, or similar tools are essential. Hands-on experience with data visualization platforms like Tableau or Looker is required. Experience with A/B testing, statistical modeling, or forecasting is also necessary. The ability to approach problems proactively and work effectively in a fast-paced environment is crucial.
Qualifications
The ideal candidate should have a strong analytical background and a collaborative approach to solving complex problems. They should be able to communicate findings clearly and work closely with cross-functional teams.
Skills
Proficiency in SQL, Python, R, SAS, or similar tools is required. Experience with data visualization platforms like Tableau or Looker is essential. Knowledge of A/B testing, statistical modeling, or forecasting is necessary. The ability to work in a fast-paced environment and collaborate effectively with cross-functional teams is crucial.
Benefits
Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.