Data Scientist II
San Francisco, CA; Remote
Join Tubi (www.tubi.tv), Fox Corporation's premium ad-supported video-on-demand (AVOD) streaming service leading the charge in making entertainment accessible to all. With over 50,000 movies and television shows, including a growing library of Tubi Originals, 200+ local and live news and sports channels, and 455 entertainment partners featuring content from every major Hollywood studio, Tubi gives entertainment fans an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming.
About the Role:
We are looking for a curious and enthusiastic Data Scientist to join our growing team. You will work cross-functionally with Product, Engineering, Revenue, Content, Growth, and Business/Executive teams to ensure that all major decisions are data-driven. You will be supported by a close-knit team of Data Scientists and will have an opportunity to drive projects end-to-end, from ideation to implementation. Your insights will have a direct impact on the future of Tubi.
Responsibilities:
- Uncover insights to ensure data-driven decision making
- Build inferential, forecasting, and machine learning models to solve business problems
- Design and run experiments to drive an improved streaming user experience
- Build and maintain high-quality data infrastructure that is easily used by less technical audiences
Your Background:
- 2-4 years experience in a similar role
- Strong SQL and a scripting programming language (Python, R, or Scala) are a must
- Experience with A/B testing and experiment design
- Experience with product analytics and working with event-level data
- Solid understanding of machine learning algorithms: supervised learning algorithms, unsupervised learning algorithms, dimensionality reduction techniques
- Strong communication, presentation, and collaboration skills
- Video streaming industry experience is a plus
#LI-Remote #LI-WW1
Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long term incentive plan, and various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.
Tubi is a division of Fox Corporation, and FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:
- For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time
- For all US-based employees, Tubi offers 12 paid "Tubi Holidays" in addition to the 11 FOX Corporate Company paid holidays
- For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters
- For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of the birth, adoption, surrogacy or foster placement of a child. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi
- For all full-time, regular employees, Tubi offers a monthly wellness reimbursement
Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.
Tags: A/B testing Engineering Machine Learning ML models Python R Scala SQL Streaming Testing Unsupervised Learning
Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Startup environment Wellness
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