Data Scientist
Role summary
Tubi, Inc. is seeking a Data Scientist in San Francisco, California, to build and deploy machine learning algorithms and data pipelines. The role involves rigorous testing of models using A/B methodologies, ensuring production readiness with a focus on reliability, scalability, and maintainability. Responsibilities include monitoring deployed model performance, identifying optimization opportunities, and driving initiatives to leverage machine learning for growth marketing applications such as email campaigns, push notifications, user acquisition, and personalized recommendations. Collaboration with cross-functional teams including data scientists, engineers, and product managers is essential for successful algorithm launches. Telecommuting is permitted.
Data Scientist (Tubi, Inc.; San Francisco, California): Build machine learning algorithms and data pipelines, deploy models to production, and test models online and offline in A/B test environments. Conduct thorough testing of models in live environments using A/B testing methodologies to validate performance and iterate on improvements. Collaborate with data scientists, growth engineers, data engineering, product managers, and other teams to ensure algorithms can be launched successfully. Deploy machine learning models into production ensuring reliability, scalability, and maintainability. Create and utilize systems to monitor and analyze the performance of deployed models, identifying opportunities for optimization and enhancement. Drive new initiatives to help the growth marketing team use machine learning to optimize different applications including email campaigns, push notifications, user acquisition strategies, and personalized recommendations. Telecommuting permitted pursuant to company policy.
Salary
: $223,259.85 – 245,585.84 per year
Education Requirements
: Bachelor’s degree or foreign equivalent in Data Science, Physics, or related quantitative field.
Experience Requirements
: Three (3) years of experience in the job offered or related occupation.
Must have experience with the following:
- Common tools for building and deploying machine learning model and applications: Python, Java, NumPy, Pandas, Scala/Spark, XGBoost, sklearn, TensorFlow, MLflow.
- Writing production-quality code, incorporating testing, evaluation, and monitoring; ETL with AWS Glue and AWS Cloud Watch monitoring; and Docker deployments.
To Apply:
Any interested applicant may click on the APPLY NOW button above to apply for this position.
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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