Roku is seeking a Data Scientist to drive forecasting, reporting, and analysis for Key Performance Metrics (KPMs) to support corporate strategy and inform senior leadership decisions regarding user base health, financial forecasts, and strategic planning.
Requirements
- 2+ years of relevant experience in a quantitative field (e.g. data scientist, analyst, technical consulting) in technology, e-commerce, or finance
- Excellent command of SQL and experience working with Big Data
- Proficient in Excel
- Experience in R or Python
- Experience with data visualization platform like Tableau, Looker, etc
- Statistics knowledge: A/B testing, statistical inference, interpretation of data, etc.
Responsibilities
- Support the analytical needs of the finance team and executive leadership, inclusive of business performance reporting, ad hoc analysis, statistical inference and predictive modeling for Roku's KPMs
- Provide analytical support and monitor key performance indicators, highlighting trends and analyzing causes of changes. Conduct deep dives when observing abnormal trends and identify potential risks before they manifest
- Understand drivers of value creation to guide strategic and financial planning
- Leverage Roku's vast amounts of data to generate business insights that inform strategy at the highest levels of leadership
- Ensure accuracy of key performance metrics before they are released both internally and externally
- Deliver presentations to clearly and effectively communicate findings to stakeholders
Other
- Academic background in math, physics, computer science, economics, engineering
- Strong communication skills across verbal, written, and presentations
- Applications will be accepted until October 27, 2025 [or until the position is filled]
- The estimated annual salary for this position is between $86,000-$166,000 annually
- Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location
