The Walt Disney Company

Lead Data Scientist

The Walt Disney Company

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California • New York • United States

Visit company website

Explore more

✨ AI Apply
Apply

Salary

💰 $155,700 - $228,600 per year

Job Level

Senior

Tech Stack

PythonSQL

About the role

  • Provide technical leadership for the data science team,
  • Identify, analyze, and deliver insights for ESPN personalization,
  • Design and analyze large-scale A/B and multivariate experiments,
  • Lead the design of automated dashboards and data pipelines,
  • Own end-to-end delivery of complex data science initiatives

Requirements

  • 7+ years of experience in Data Science, Machine Learning, Statistics, or a related field,
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a relevant field or equivalent industry experience,
  • Proven track record of delivering high-quality experimentation analyses and actionable insights,
  • Deep expertise in statistical testing, causal inference, and experiment design,
  • Strong proficiency in Python, SQL, and modern ML/statistics libraries,
  • Experience working with large-scale datasets in distributed computing environments,
  • Strong familiarity with data engineering best practices,
  • Demonstrated success with dashboarding tools and crafting data stories for stakeholders,
  • Experience applying automation and AI-driven tools to streamline workflows,
  • Exceptional communication skills,
  • Ability to lead projects with high ambiguity and cross-functional complexity.
Benefits
  • A bonus and/or long-term incentive units may be provided as part of the compensation package,
  • Full range of medical, financial, and/or other benefits
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data ScienceMachine LearningStatisticsPythonSQLStatistical TestingCausal InferenceExperiment DesignData EngineeringAutomation
Soft Skills
Technical LeadershipCommunicationProject ManagementAnalytical ThinkingCollaborationProblem SolvingAdaptabilityStakeholder EngagementCreativityAttention to Detail