About the team
The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with the Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
About the role
Roku is looking for a Senior Data Scientist to join the Core Analytics team supporting recommendations and personalization products. In this role, you will leverage data analytics to support and improve our recommendations and personalization initiatives, identifying trends, mitigating risks, and providing actionable insights. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor, and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.
What you'll be doing
- Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests.
- Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board.
- Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health.
- Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends, and make data-driven decisions.
- Develop necessary data pipelines to power automation, validation, and reporting.
- Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform.
- Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform.
- Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback.
- Providing feedback directly to leadership on performance of various initiatives and untapped opportunities.
We're excited if you have
- 5+ years of work experience with a bachelor's degree or master's degree in a quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science).
- 5+ years of experience across consumer product, digital media, or entertainment industries.
- Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis.
- Hands-on experience with visualization tools like Tableau or Looker.
- Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment.
- Hands-on experience in A/B testing and statistical modeling/forecasting.