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 our growing subscriptions business. In this role, you will leverage data analytics to support and improve our subscriptions products including sign-up flows, content discovery and navigation, and subscriptions marketing. You will be tasked with identifying trends and providing actionable insights to make our team more efficient and connect users with the subscription they need to watch the content they love. You will work closely with marketing, 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 $132,000-$254,000 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.
Roku will be accepting applications for this position until April 27, 2025 [or until the position filled].
What you'll be doing
- Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
- Advise on key product development and marketing strategy decisions to drive our subscription business
- Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
- Develop necessary data pipelines to power automation, validation and reporting
- Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests
- Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
- Providing feedback directly to leadership on performance of various initiatives and untapped opportunities
We're excited if you have
- 4+ 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)
- 4+ years of experience in the digital media or entertainment industries. Experience with a subscription model preferred
- Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
- Demonstrated ability to influence quantitatively meaningful business outcomes
- 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-EG1
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.
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 have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.
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