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Tubi

Data Scientist

Posted Yesterday
Remote
Hiring Remotely in USA
211K-232K Annually
Junior
Remote
Hiring Remotely in USA
211K-232K Annually
Junior
Apply machine learning, artificial intelligence, statistical analysis, and causal inference to large datasets and product analytics. Develop insights and recommendations for recommendation systems and user experiences. Evaluate experiments through planning, monitoring, and post-analysis, build data pipelines and tools, and communicate complex findings to stakeholders to support business decisions.
The summary above was generated by AI

Data Scientist (Tubi, Inc.; San Francisco, California): Apply machine learning (ML) and artificial intelligence (AI) to analyze data and derive insights from large datasets to identify ways to improve user experiences for both new and returning users. Lead a diverse set of data projects, providing insights and recommendations to inform data-driven decisions that drive our recommended systems. Apply statistical rigor, metric alignment, transparency, and effectiveness to Tubi’s decision-making process. Help the machine learning team refine their recommendation models to elevate user experiences. Identify the best strategies to optimize the experiences of new and returning users. Evaluate experimental designs, including pre-test planning, in-flight monitoring, and post experimental analysis for graduation decisions. Collaborate with cross-functional teams to build pipelines and tools and make business-impacting decisions. Telecommuting permitted pursuant to company policy.

Salary: $211,112.99 – 232,224.29 per year

Education Requirements: Doctorate degree or foreign equivalent in Psychology or related field.

Experience Requirements: One (1) year of experience in the position offered or related occupation.

Must have experience with the following: product analytics and working with event-level data; programming and data manipulation using SQL, Python, and Spark; statistical analysis and deriving insights from large datasets; presenting complex findings to non-technical stakeholders; experimental design and A/B testing; applying causal inference methods to business or product problems; and creating clear and effective data visualizations and dashboards.

To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position.

#LI-DNI

Tubi is a division of Fox Corporation, and the 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 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 birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. 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.
About Tubi:

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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