About the Team
The Core Analytics Team is a centralized function to provide data-driven insights to drive business decisions. We collaborate closely with our Product and Engineering teams to deliver the best product experiences to our customers and maximize the value proposition for the business.
About the Role
Roku is looking for a Sr. Data Scientist to join the Core Analytics team supporting the Sports product. This individual will be responsible for understanding how users engage with Sports on Roku and work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.
For New York Only - The estimated annual salary for this position is between $163,000 - $245,000 annually. 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.
What you'll be doing:
- Define and monitor KPIs that guide the growth of Sports on Roku
- Analyze 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
- Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests
- Perform exploratory data analysis on emerging trends and execute advanced analysis across Sports on the Roku platform
- Collaborate with the Program Management and Engineering teams to proactively seek and incorporate feedback
- Providing feedback directly to Sports 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 quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
- Hands on experience in A/B testing and statistical modeling/forecasting
- 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
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