Senior Data Scientist, Viewer Product Analytics

Roku

Santa Monica (CA)

Hybrid

USD 169,900 - 190,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off

Job summary

Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting the Viewer Product. You will analyze data to improve the Home screen and discovery, influence UI decisions, and connect users with content.

Expect to develop dashboards, data pipelines, and analytical models to drive efficiency and strategic decisions. Ideal candidates have 4+ years in product analytics with proficiency in SQL/SAS/R/Python, and hands-on experience with visualization tools and AI-enabled workflows.

Qualifications

  • 4+ years of professional experience in a quantitative field with a degree.
  • 4+ years of experience in product analytics, preferably media/entertainment.
  • Proficiency in SQL, SAS, R, Python for querying data and analysis.

Responsibilities

  • Analyze structured and unstructured data and communicate insights to stakeholders.
  • Advise on product development strategy to drive Home screen and discovery.
  • Develop dashboards, reports, and visualizations to monitor metrics and health.
  • Build data pipelines to power automation, validation, and reporting.
  • Collaborate with stakeholders to align data science with organizational goals.
  • Design and run A/B tests to evaluate product changes and impact.
  • Perform exploratory data analysis on trends and Roku platform.

Skills

SQL
SAS
R
Python
Tableau
Looker
A/B testing
Forecasting
AI & LLMs

Education

Bachelor's or Master's in quantitative field

Job description

Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting the Viewer Product. You will analyze data to improve the Home screen and discovery, influence UI decisions, and connect users with content.

Expect to develop dashboards, data pipelines, and analytical models to drive efficiency and strategic decisions. Ideal candidates have 4+ years in product analytics with proficiency in SQL/SAS/R/Python, and hands-on experience with visualization tools and AI-enabled workflows.

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