Sr Research Data Scientist

Roku • New York, NY

76d • $132,000 - $254,000

About The Position

Roku is looking for a Research Data Scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku’s experimentation capabilities, exploring and implementing scalable and robust statistical methods that can be applied to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering, and a software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor, and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well-versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise.

Requirements

• 2+ years of work experience with a PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) OR 5+ years of equivalent practical experience with a master’s degree.
• Deep knowledge of statistics, probability, and machine learning techniques.
• Hands-on experience on experimental design, A/B testing, causal inference, and statistical modeling/forecasting.
• Expertise in SQL, SAS, R, Python, or other programming languages 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 dynamic environment.
• The ability to effectively communicate with technical and non-technical business partners alike, who are interested in building strong cross-functional relationships.
• A desire to question the status quo and promote innovative solutions to challenging problems.

Responsibilities

• Own the experimentation roadmap for Core Analytics in partnership with Product and Engineering.
• Define the standard for statistical analysis across varying types of experiments and units of analysis, ensuring robust results with minimal bias.
• Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian inference and causal methods to optimize complex strategies.
• Develop necessary data pipelines to power automation, validation, and reporting.
• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy.
• Collaborate with the Product Management and Engineering team to proactively seek and incorporate feedback.

Benefits

• Health insurance
• Equity awards
• Life insurance
• Disability benefits
• Parental leave
• Wellness benefits
• Paid time off
• Global access to mental health and financial wellness support and resources
• Commuter benefits
• Retirement options (401(k)/pension)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree