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Senior Data Scientist

Roku · San Jose, United States

External listingfull-time6 days ago

About The Role

Join Roku as a Senior Data Scientist in the Core Analytics team supporting the Roku TV organization. In this role, you will analyze large-scale data sets, develop dashboards, design experimentation frameworks, and build data pipelines. You will collaborate with cross-functional teams to align data science initiatives with organizational goals. The ideal candidate has a strong background in data analytics, statistical modeling, and data visualization tools.

  • Collaborate cross-functionally with product, engineering, and business stakeholders to align data science initiatives with organizational goals.
  • Retrieve, manipulate, analyze, and visualize large-scale data sets to fuel significant business decisions, including developing and maintaining dashboards.
  • Design and execute A/B tests and experimentation frameworks to improve the customer streaming experience.
  • The ideal candidate brings deep curiosity, creative problem-solving skills, and a strong ownership mindset spanning the full lifecycle from ideation to post-launch tracking
  • Experience with statistical modeling and leveraging AI/LLM tools to enhance analytical workflows
  • Strong command of SQL with experience working in Big Data environments
  • Ability to work independently and manage multiple workstreams across distributed teams
  • Investigative mindset with a passion for root-cause analysis and problem-solving
  • Strong understanding of statistics, including A/B experimentation and statistical inference
  • Demonstrated ability to communicate complex findings and present insights to diverse audiences including senior leadership
  • Academic background in Mathematics, Statistics, Physics, Data Science, Computer Science, Economics, or a related quantitative field
  • Hands-on experience with data visualization tools such as Tableau or Looker
  • Proficiency in Python or R for data analysis and modeling
  • 5+ years of experience in data analytics, data science, or business intelligence

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