disney
Lead Data Scientist
At a Glance
- Location
- San Francisco, California, United States
- Work Regime
- onsite
- Employment
- Full time
- Experience
- 7+ years
- Compensation
- on in Los Angeles, CA area is $155,700 - $208,700 per year and New York City is
- Posted
- 2026-03-31
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Finance
- Media
- Medical
Requirements
7+ years of experience in Data Science, Machine Learning, Statistics, or a related field, ideally supporting large-scale online platforms.
Proven track record of delivering high-quality experimentation analyses and actionable insights that influenced product strategy.
Strong proficiency in Python, SQL, and modern ML/statistics libraries (pandas, scikit-learn, PyTorch/TensorFlow optional).
Experience working with large-scale datasets in distributed computing environments (Spark, Databricks, Snowflake, etc.).
Strong familiarity with data engineering best practices and building durable data science assets on top of production-grade data.
Demonstrated success with dashboarding tools (Tableau, Looker, Mode) and crafting data stories for a variety of stakeholders.
Responsibilities
The Lead Data Scientist
is a senior technical leader responsible for driving innovation in personalization, experimentation, and large-scale data insight generation across ESPN’s streaming products.
This role blends deep statistical expertise, strong technical execution, and exceptional communication skills to influence product strategy and guide a growing team of data scientists.
A successful candidate will lead the development of advanced experimentation frameworks, actionable dashboards, personalization insights, and scalable data science solutions that directly empower product managers, content programmers, and executive leadership.
They will set technical direction, elevate data quality and standards, and champion automation and AI-assisted workflows to accelerate team productivity.
Lead Technical Direction & Mentorship