Senior Data Scientist

RokuSan Jose, CA
$169,900 - $190,000Hybrid

About The Position

Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting the Viewer Product team. In this role, you will leverage data analytics to support and improve the Home screen and discovery products, influencing the look and feel of the most visible parts of the Roku platform while connecting users to the content they love. You will identify trends and provide actionable insights to drive team efficiency and inform strategic decisions. Working closely with product management and engineering, you will 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 the broader ecosystem through dashboards, data pipelines, and analytical models. The successful candidate brings a quantitatively driven mindset, strong attention to detail, and an elevated level of problem-solving expertise.

Requirements

  • 4+ 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
  • 4+ years of experience in product analytics, with preference for experience supporting platforms in the media and entertainment space
  • Proficiency in SQL, SAS, R, Python, or other programming languages for querying data and performing analysis
  • Demonstrated ability to influence quantitatively meaningful business outcomes
  • Hands-on experience with visualization tools such as Tableau or Looker
  • Experience with A/B testing, statistical modeling, or forecasting
  • Demonstrated ability to take initiative in resolving issues and thrive in a dynamic environment
  • Experience using AI and Large Language Models to enhance productivity and analytical workflows

Responsibilities

  • Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends, and make data-driven decisions
  • Advise on key product development strategy decisions to drive the Home screen and discovery products
  • Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
  • Develop 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 to evaluate product changes and measure impact
  • Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku platform
  • Provide data-driven recommendations directly to leadership on performance of various initiatives and untapped opportunities

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
  • healthcare (medical, dental, and vision)
  • accident
  • commuter
  • retirement options (401(k)/pension)
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