Roku
Roku

60 Roku Data Analyst Jobs Hiring Near You

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Research Data Scientist

New York, NY · On-site

$330K - $375K/yr

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Research Data Scientist

New York, NY · On-site

$330K - $375K/yr

Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Research Data Scientist

San Jose, CA · On-site

$330K - $375K/yr

Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

About the team The mission of Roku's Data Engineering team is to develop a world-class big data ... Collaborate with cross-functional teams such as developers, analysts, and operations to execute ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Data Engineering works closely with business partners and Engineering teams to collect metrics on ... Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis ...

Data Engineering works closely with business partners and Engineering teams to collect metrics on ... Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis ...

Senior Data Engineer

San Jose, CA · On-site

$148K - $361K/yr

Data Engineering works closely with business partners and Engineering teams to collect metrics on ... Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis ...

Senior Data Engineer

Austin, TX

$105K - $142K/yr

Data Engineering works closely with business partners and Engineering teams to collect metrics on ... Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis ...

Senior Data Engineer

San Jose, CA · On-site

$148K - $361K/yr

Data Engineering works closely with business partners and Engineering teams to collect metrics on ... Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis ...

New

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada ... Collaborate with cross-functional teams such as developers, analysts, and operations to execute ...

Sr. Data Scientist

Santa Monica, CA · On-site

$179K - $190K/yr

About the role Roku is looking for a Senior Data Scientist to join the Core Analytics team supporting UI Originals initiatives. In this role, you will support the UI Originals team by applying data ...

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Roku Jobs Information

What is it like to work at Roku?

Roku is known for its collaborative and innovative culture, prioritizing employee growth and well-being alongside the company's mission to connect people to the streaming content they love.

The company's structure is designed to foster a sense of community, with teams working together across various departments to drive product development and customer satisfaction. Roku's headquarters in San Jose, California, features an open and modern workspace that encourages creativity and collaboration.

Working at Roku may appeal to candidates who are passionate about technology and media, as the company offers opportunities to contribute to the development of innovative streaming products and services that shape the entertainment industry.

What makes Roku an attractive place to work?

Roku is a leading streaming media player company that has revolutionized the way people consume entertainment content, with a strong presence in the global market. The company's workplace culture values innovation, collaboration, and a fast-paced environment that fosters creativity and growth, with a focus on delivering exceptional products and services to its customers. Joining Roku offers opportunities for professionals to contribute to the development of cutting-edge technology, work on high-impact projects, and advance their careers in a dynamic and rapidly evolving industry.
Infographic showing various Data Analyst job openings at Roku in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Senior Research Data Scientist

Senior Research Data Scientist

Roku

San Jose, CA

$330K - $375K/yr

Other

Medical, Life, PTO

Posted 24 days ago


Job description

About the team

Our Data Science team is a high-impact research team actively shaping the future of TV, using Big Data to build and enhance the user experience on the Roku streaming platform. Our production-ready machine learning models and statistical solutions optimize the user experience across all of Roku's core business models and products, and our scientists engage closely with business, product, and engineering leaders to make material and measurable impacts on the success and growth of the platform.

 About the role

As a Senior Research Data Scientist on Roku's Data Science team, you will lead the development of a best-in-class causal inference platform that measures and optimizes the true incremental impact of customer actions, product features, and business interventions on long-term outcomes. Partnering with the Customer Growth organization, you will build the methods and systems that enable Roku to make high-confidence decisions from observational data when randomized experiments are not feasible.

You will own the full lifecycle of causal measurement-from gathering business requirements and defining estimation approaches, to partnering with Engineering to productionize scalable causal pipelines and communicating findings to senior leadership. Your work will directly inform growth, retention, and monetization strategy across the platform, making this role ideal for an applied economist or econometrician who excels at the intersection of rigorous research and production engineering. This is someone equally comfortable deriving identification strategies and building estimators on terabyte-scale data.

For California, New York, and Massachusetts only - The estimated annual base salary for this position is between $330,000- $375,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing
  • Design, build, and productionize a causal inference platform that standardizes how Roku measures the incremental impact of customer actions and business decisions
  • Research and implement causal estimation methods, including heterogeneous treatment effects, tailored to Roku's data and business questions
  • Build long-term outcome frameworks that enable impact projection from limited observation windows
  • Develop diagnostic and validation standards at scale to ensure credibility of causal estimates
  • Leverage AI to create counterfactual scenarios and build tools that help users run, understand, and act on causal estimates correctly
  • Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate business questions into well-defined causal problems and deploy production-ready solutions
  • Contribute to the technical vision of the Data Science team and the broader research agenda across causal inference, predictive modeling, and experimentation
We're excited if you have
  • PhD in Economics, Econometrics, Statistics, or a closely related quantitative field with a strong emphasis on causal inference
  • 10+ years of experience applying causal inference and machine learning methods to real-world problems, with a demonstrated track record of measurable impact
  • Deep expertise in observational causal methods such as propensity score matching, Double Machine Learning, doubly robust estimation, instrumental variables, and difference-in-differences
  • Experience building reusable causal inference tools or platforms beyond one-off analyses
  • Proficiency with Spark, Ray, SQL, Python, and ML frameworks such as scikit-learn, XGBoost, and LightGBM
  • Experience with terabyte- or petabyte-scale datasets in distributed computing environments
  • Strong communication skills with the ability to translate econometric findings into clear business recommendations
  • Technology industry experience; connected TV, streaming, or advertising experience is a plus
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