Senior Data Scientist

Data Science | New York, United States | ID: 10958 

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Senior Data Scientist

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Teamwork makes the stream work.

 

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

 

About the team 

The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. 

 

About the role 

Roku is looking for a Senior Data Scientist to join the Core Analytics team and drive data-driven insights for our Customer Intelligence function, part of the broader Planning & Optimization team.  

Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You’ll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions. 

This role is designed to operate at the intersection of analytics and business strategy. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You’ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. A core part of this work involves measuring incremental impact and distinguishing true effects from noise. Familiarity with causal inference and experimentation is important; deep specialization is a plus but not required. 

For New York Only - The estimated annual salary for this position is between $157,000 to $187,000 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: 

  • End-to-end Advanced Analytics: lead the design, execution, and delivery of complex analyses, leveraging advanced analytics to understand customer behavior, predict churn, identify growth opportunities, and measure the incrementally of initiatives. 
  • Technical Execution & Automation: develop, optimize, and maintain scalable SQL and Python-based data pipelines and analytical workflows.
  • Write production-quality code to create datasets, compute KPIs, validate results, and build predictive/causal models when needed.
  • Partner with Data Engineering to enhance data quality, metric consistency, and pipeline reliability, including leveraging tools like Airflow. 
  • Dashboarding & Reporting: create and maintain Tableau/Looker dashboards and recurring scorecards that empower business teams with self-service insights, reducing ad-hoc requests and enabling continuous performance monitoring. 
  • Raise Analytical Bar: champion best practices in statistical rigor, bias awareness, and data governance. Continuously explore new methodologies and tools to elevate the team's analytical capabilities. 
  • Business-Oriented Storytelling & Communication: craft compelling, executive-ready narratives and presentations (slides, memos) that clearly articulate complex analytical findings, strategic implications, and actionable recommendations to both technical and non-technical audiences, influencing decision-makers across the organization. 
  • Stakeholder Partnership: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable. 

 

We’re Excited If You Have: 

  • 5+ years of experience in data science or advanced analytics roles driving measurable business impact. 
  • Demonstrated ownership of ambiguous, high-visibility analytical problems. 
  • Experience building reusable measurement frameworks or scalable impact evaluation methodologies. 
  • Strong proficiency in Excel, SQL and Python for data analysis and visualization. 
  • Experience building reusable analytical code and productionizing workflows (e.g., Airflow or similar tools). 
  • Hands-on experience with Tableau or Looker for reporting.
  • Ability to communicate complex findings clearly to both technical and executive audiences. 
 
#LI-GT2

 

Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

 

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

 

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.

 

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

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