Senior Data Scientist

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 Sr. Data scientist to join the Core Analytics team supporting recommendations and personalization products. In this role, you will leverage data analytics to support and improve our recommendations and personalization initiatives, identifying trends, mitigating risks, and providing actionable insights. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $140,250 - $169,400 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 Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board. Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions Develop necessary data pipelines to power automation, validation and reporting Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback Providing feedback directly to leadership on performance of various initiatives and untapped opportunities We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 5+ years of experience across consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting #LI-AN1 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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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 [email protected] . 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 [email protected] .

{
  "content_hash": "2aaee04310adfa64a895f9017abf111d61452e2ff0dbb931a62ea37245ad1bbc",
  "source_hash": "69b0471ee8eaff3919bcaf9a0bffb688f08faffe1ba890e3c36eb55b8a41045b",
  "last_changed_at": "2026-06-06T07:31:48.104Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Santa Monica, California",
    "city": "Santa Monica",
    "region": "CA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.85
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T18:52:44.085Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Santa Monica, California",
      "city": "Santa Monica",
      "region": "CA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "title": "Senior Data Scientist",
  "offices": [
    {
      "id": 63575,
      "name": "San Jose, California",
      "location": "San Jose, California, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Santa Monica, California"
  },
  "metadata": [
    {
      "id": 2721124,
      "name": "Job Site Dept",
      "value": "Data Science",
      "value_type": "single_select"
    },
    {
      "id": 383399,
      "name": "Stock Level",
      "value": "10 Senior Professional - 15% / 85%",
      "value_type": "single_select"
    },
    {
      "id": 3889117,
      "name": "Leader -2",
      "value": "Moskowitz, Andrew",
      "value_type": "single_select"
    },
    {
      "id": 114872,
      "name": "Function",
      "value": "S&M",
      "value_type": "single_select"
    }
  ],
  "updated_at": "2026-06-05T12:08:05-04:00",
  "departments": [
    {
      "id": 73448,
      "name": "381 - Core Analytics",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Roku",
  "requisition_id": 3419782,
  "first_published": "2026-04-23T10:31:13-04:00",
  "application_deadline": null
}