Senior Data Scientist, Roku
3 days a week in office
Convenient and affordable TV streaming players
Be an early applicant
Convenient and affordable TV streaming players
1001+ employees
Be an early applicant
3 days a week in office
1001+ employees
Company mission
To provide its users with a more convenient and cost effective way of watching the programs they love.
Role
Who you are
- The ideal candidate is detail-oriented, highly analytical, and passionate about solving complex challenges
- 3+ years in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science)
- A proven track record in consumer products, digital media, or entertainment industries
- Proficiency in SQL, SAS, R, Python, or other query/analysis languages
- Hands-on expertise with visualization tools such as Tableau or Looker
- A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments
- Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions
- If you’re passionate about leveraging data to create meaningful impact, thrive in collaborative environments, and want to be part of a team shaping the future of voice products, we’d love to hear from you
What the job involves
- Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting our international product team. In this role you will harness data to understand how users interact with our platforms across different with regions and work directly with Product Management and Engineering to identify actionable insights that will help to improve the user experience
- This role offers a dynamic opportunity to investigate, design, and implement solutions to track, monitor, and optimize our ecosystem
- Designing and maintaining dashboards, reports, and data visualizations to monitor key metrics for operational and system performance
- Analyzing both structured and unstructured data to uncover insights, identify trends, and support Product Management and Engineering in solving business challenges and making informed decisions
- Building and maintaining data pipelines to enable automation, validation, and reporting processes
- Designing and Analyzing A/B tests
- Conducting exploratory data analysis to understand emerging trends and performing advanced analyses across the Roku platform
- Providing leadership with actionable insights on the performance of various initiatives and identifying untapped opportunities
Application process
- We ask that you remove any photos from your resume or CV before submitting your application
Salary benchmarks
Our take
According to Nielsen data, the average streamer spends over seven minutes searching for something to watch. Streaming services use customers' viewing history to make suggestions, but these are limited to programs licensed for that particular service.
Roku provides an integrated streaming service that offers TV channels, movies and third-party streaming services, resulting in an all-in-one streaming platform. The service can be accessed through a variety of customized subscription packages and fees.
Roku stands out in the streaming industry by bringing many competitors together in one package. The startup provides further innovative services such as a weekly TV series named 'Roku Recommends' which uses first-party data to recommend essential viewing to users. Alongside funding filmmakers through its "Change Makers Program", Roku also acquired its own original library of shows through its acquisition of now-defunct Quibi's library in 2021. After successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released in 2023, further exemplifying the streaming company's wider ambitions in the media sector.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2016
$45.5m
LATE VC
Nov 2015
$45.5m
SERIES H
Total funding: $247.8m
Company benefits
- Medical, wellness and financial benefits
- Unlimited paid time off policy
- Work from home opportunities
Company HQ
Newhall, San Jose, CA
Leadership
Anthony Wood
(CEO)Studied Engineering at Texas A&M before founding their first company in 1986. They held VP roles at both Adobe and Netflix.
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