Senior Data Scientist

Roku•New York, NY

9d•$127,500 - $170,400•Hybrid

About The Position

Roku is seeking a Senior Data Scientist to join the Core Analytics team with a focus on Ad Quality and Ad Products. In this role, you will partner with business stakeholders, product managers, and engineers to solve complex analytical problems and deliver actionable insights that influence strategic business decisions. You will own end-to-end problem solving, from identifying trends and developing measurement frameworks to designing A/B tests and leveraging causal inference methods. A core part of your work will involve building data pipelines, dashboards, and automated reports to ensure high ad quality and strong ad performance across the Roku platform. You will translate complex technical findings into compelling data stories that provide strategic recommendations to executive leadership and cross-functional partners. The ideal candidate brings strong analytical depth, clear communication skills, and a proactive approach to identifying opportunities that accelerate business growth. At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We value your AI skills if 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. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.

Requirements

A bachelor's degree and 5+ years of advanced analytics experience, or a master's/Ph.D. with 3+ years of experience
Strong SQL skills and experience with business intelligence tools such as Looker
Experience with R or Python for data analysis and modeling
Deep knowledge of experimental design and causal inference methods, including expertise in A/B testing
Experience with forecasting models such as SARIMA, Prophet, TFT, or similar approaches
Experience in data management, analytics, data science, and reporting
Experience with advertising systems, programmatic advertising, and advertising identity
Ability to work independently and manage relationships with stakeholders across multiple teams
Strong communication and presentation skills with data visualization and action-oriented narrative for stakeholder and executive audiences
A proactive approach to identifying opportunities and proposing solutions

Nice To Haves

built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks
describe projects where you shipped real work with these tools
know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you

Responsibilities

Build reporting data pipelines and dashboards to ensure stakeholders can access accurate, timely, and actionable insights
Design and execute A/B tests and apply causal inference methods to measure impact and inform product decisions
Partner directly with stakeholders to understand key business questions that improve Ad Quality and accelerate the evolution of Ads Products
Analyze structured and unstructured data and communicate insights to help stakeholders identify trends and make data-driven decisions
Develop analytics tools, models, alerts, and testing frameworks to measure Ad Quality and Ads Product metrics and inform business strategies
Deliver presentations that clearly and effectively communicate findings and recommendations to stakeholders and executive audiences
Translate complex technical topics into clear business recommendations
Provide feedback to leadership and stakeholders across the company on the performance of various initiatives and untapped opportunities