Job description
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the US, 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
Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Data Science and diving deep into the economics of our business.
This role is right for you if you value impact. You will be leading a team that researches and solves complex AI problems, and then works closely with Machine Learning engineers to automate this process to prove it out at scale. You will influence the direction of Roku’s strategic goals, question the inherent assumptions in our thinking, and define business objectives in an innovative and encouraging environment.
The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.
About the role
The Senior Manager of Data Science is responsible for managing and developing an incredible team of Data Scientists creating algorithms to power Roku’s platform. This is a high visibility role that will report to and support the Senior Director of Data Science.
For New York Only - The estimated annual salary for this position is between $292,000 and $600,000 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 will be doing
- Partner with product, engineering and analytics teams to drive the use of Data Science across Roku’s business
- Hire and develop a team of exceptional Data Scientists to
- Dive into data, clean it up, and interpret insights that can be used to improve business and product performance
- Develop best-in-class algorithms to improve product and business outcomes
- Run live experiments to prototype the improvements and prove their efficacy
- Work cross-functionally with engineering and product management teams to deploy Data Science products
- Provide expert consultative assistance to other teams in the company, including data scientists working in other areas of Roku’s stack
- Contribute to the technical vision of the Data Science team
- Deliver presentations to clearly and effectively communicate findings to stakeholders and executive leadership
- Be a thought leader, brainstorm partner and sounding board for all collaborators
We’re excited if you have
- 8+ years relevant experience with Data Science in tech, advertising or entertainment sectors
- 8+ years of experience building and leading Data Science teams including formal supervisory duties
- Proven experience in driving projects from start to finish, while driving impact
- Proven track record of thriving with ambiguity
- Excellent understanding of algorithms and data structures for optimization
- Expert user of Big Data technologies/platforms, statistical platforms and data visualization tools, advanced SQL skills, hands-on experience with machine learning, predictive modeling and statistical analysis techniques
- Experience with deep-learning algorithms; fluent in Python, R, Hive
- Communication and presentation experience with proven track record of using insights to influence executives and colleagues
- Proven track record of partnering closely with data and engineering teams
- Advanced degree in Statistics, Applied Math, Machine Learning, Comp Sci., etc.
- Good culture fit and excellent team player
- Knowledge of latest open standards and web technologies and how they can be used effectively
- Ability to decompose complex problems into manageable units of work
- Excellent verbal and written communication skills
- Self-motivated individual who takes ownership
- Positive attitude
- Non-political
- Results oriented
- Practical
- Hands on and team oriented
- Desire to win in a highly competitive environment
- Ability to adjust plan and react as needed
- College degree in Computer Science or equivalent
#LI-JG1
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.
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