Senior Data Scientist

Roku • Bachelor's Degree • Python • SQL • Tableau • A/B Testing • Looker • 6 days ago
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Salary
$128k – $170k per year
Location
In office (New York)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 63 · for this role: 6 · green card filings: 7
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Jul 30, 2026. Roku scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Roku

Roku is an American streaming platform company headquartered in San Jose, California, that makes the Roku operating system, streaming players and Roku-branded TVs and sells advertising across its free and paid channels. Founded in 2002 and listed on Nasdaq, it licenses its software to TV manufacturers, runs The Roku Channel and has engineering and business offices in Austin, Boston, New York, Santa Monica, Cambridge, Manchester and London. Its openings focus on software, machine learning and data engineering, data science, ad technology and search, alongside account executives, finance analysts and legal counsel.
roku.com • HQ: San Jose, United States • Televisions • Streaming & OTT Platforms • 501-1000 employees • Est. 2002
Tech stack of Roku
Backed by Menlo Ventures

Join Roku as a Senior Data Scientist on the Core Analytics team. In this role, you will leverage data analytics to improve onboarding experiences, identify trends and risks, and guide strategic product and business decisions. You will partner with product management and engineering teams to identify new features, drive adoption, and develop solutions that track, monitor, and improve the onboarding ecosystem. This position offers the opportunity to solve complex analytical problems that directly impact millions of users across the Roku platform.

Missions

  • Leverage data analytics to improve onboarding experiences, identify trends and risks, and guide strategic product and business decisions.
  • Partner with product management and engineering teams to identify new features, drive adoption, and develop solutions that track, monitor, and improve the onboarding ecosystem.
  • Develop and maintain dashboards, reports, and data visualizations for operational and systems health metrics, and analyze structured and unstructured data to communicate insights.

Profil recherché

- Proficiency in SQL, R, Python, or other programming languages for querying and analysis

- Experience using AI and Large Language Models to enhance productivity and analytical workflows

- 5+ years of experience supporting user onboarding, consumer products, digital media, or entertainment domains

- Experience with A/B testing, statistical modeling, or forecasting

- Demonstrated ability to thrive in a dynamic environment and take initiative in resolving issues

- Bachelor's or Master's degree in a quantitative field such as Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science

- Hands-on experience with visualization tools such as Tableau or Looker

- 5+ years of professional experience in data science, analytics, or a related field

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