Data Scientist

Tubi Tv; San Francisco (CA); Hybrid; USD 174,000 - 191,400; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) plan

Paid time off

Flexible Time off Policy

Parental Leave Program

Monthly wellness reimbursement

Job summary

Tubi, Inc. in San Francisco seeks a Data Scientist to analyze large datasets to solve challenging problems. You'll develop strategies for products, manage dashboards, and partner with cross-functional teams to support investment decisions.

The ideal candidate will have a Master’s degree and at least 3 years of related experience. The position offers a salary range of $174,000 – 191,400 per year, along with benefits like health insurance and flexible time off.

Qualifications

• Three years of experience in the position offered or related occupation.
• Experience with large and complex datasets using statistical methods.
• Familiarity with experimental design and causal inference.

Responsibilities

• Work with large data sets to solve complex problems.
• Create and manage dashboards and visualizations.
• Partner with cross-functional teams for data-informed decision-making.

Skills

analytics and SQL

Python

Spark

A/B testing

experimental design

causal inference

statistical methods

product analytics

event-level data

video streaming industry

Education

Master’s degree in Computer Science, Engineering, Statistics, or related field

Job description

Data Scientist (Tubi, Inc.; San Francisco, California): Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products. Create and manage dashboards and visualizations, delivering actionable insights to stakeholders and enabling data-informed decision-making. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions. Ensure statistical rigor, metric alignment, transparency, and effectiveness in Tubi’s decision-making processes. Design, evaluate, and refine experimentation frameworks, including pre-test planning, in-flight monitoring, and post-experiment analysis. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. Join forces with Data Engineering to ensure the availability and integrity of data required for analytics, ML ops for deployment, and opportunities for automation. Telecommuting permitted pursuant to company policy.

Salary: $174,000 – 191,400 per year

Education Requirements: Master’s degree or foreign equivalent in Computer Science, Engineering, Statistics, or related field.

Experience Requirements: Three (3) years of experience in the position offered or related occupation.

Must have experience with the following: analytics and SQL, Python, and Spark; A/B testing, experimental design, and causal inference in a technology-driven environment; extracting insights from large datasets using statistical methods; product analytics and working with event-level data; and video streaming industry.

Benefits

• Health, dental, and vision insurance; 401(k) plan; paid time off; and other benefits.
• High cost labor markets: Los Angeles, New York City, and San Francisco.
• Flexible Time off Policy for salaried/exempt employees.
• Parental Leave Program: Twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child.
• 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.