{"id":2013712,"url":"https://alion.io/job/roku-senior-data-scientist-11","title":"Senior Data Scientist","company":{"id":185188,"name":"Roku","domain":"roku.com","url":"https://alion.io/company/roku-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":76,"open_postings":23,"ghost_share":0,"stale_share":0.957,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":169900,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Looker","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"closed","first_seen_at":"2026-10-02T00:18:56Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-14T07:14:39Z","board_verified":false,"closed_at":"2026-10-14T07:14:39Z","days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Join Roku as a Senior Data Scientist on the Core Analytics 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 Roku platform. You will analyze structured and unstructured data, develop dashboards and data pipelines, and collaborate with stakeholders to align data science initiatives with organizational goals. The ideal candidate has 4+ years of experience in product analytics, proficiency in SQL and programming languages, and experience with A/B testing and statistical modeling.\nMissions\nLeveraging data analytics to support and improve the Home screen and discovery products, influencing the look and feel of the Roku platform.\nIdentifying trends and providing actionable insights to drive team efficiency and inform strategic decisions, working closely with product management and engineering.\nDeveloping and maintaining dashboards, reports, and data visualizations to monitor key metrics for operational and systems health, and collaborating with stakeholders to align data science initiatives with organizational goals.\nProfil recherché\n - We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks- And you can describe projects where you shipped real work with these tools\n- You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you\n- Demonstrated ability to influence quantitatively meaningful business outcomes\n- Proficiency in SQL, SAS, R, Python, or other programming languages for querying data and performing analysis\n- Experience using AI and Large Language Models to enhance productivity and analytical workflows\n- 4+ years of experience in product analytics, with preference for experience supporting platforms in the media and entertainment space\n- Hands-on experience with visualization tools such as Tableau or Looker\n- Demonstrated ability to take initiative in resolving issues and thrive in a dynamic environment\n- Experience with A/B testing, statistical modeling, or forecasting\n- 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 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