Full-Time

Data Science Manager

Confirmed live in the last 24 hours

The Walt Disney Company

The Walt Disney Company

10,001+ employees

Leading producers & providers of entertainment and information

Compensation Overview

$149.3k - $200.2kAnnually

+ Bonus + Long-term Incentive Units

Senior, Expert

Burbank, CA, USA

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Tableau
Databricks
Looker
Data Analysis
Snowflake
Requirements
  • Minimum 7+ years of data science experience
  • Proven experience in developing statistical models and analyses for business use cases in an industry setting. Demonstrated expertise in applying supervised and unsupervised learning techniques, including clustering, regression, and classification
  • Experience with causal inference methods
  • Ability to draw insights and conclusion from data to inform model development and business decisions
  • Experience manipulating large-scale datasets and interpreting data trends from multiple disparate sources
  • Proven track record in managing and executing full-cycle analytics projects
  • Hands on experience with SQL and numerical computing languages such as PySpark/Python, R
  • Experience data mining within distributed systems such as Databricks, Snowflake, Google BigQuery
  • Proficient with data exploration and visualization tools such as Tableau, Looker, DOMO
  • Strong time management with ability to work in a fast-paced environment across multiple priorities
  • Bachelor’s degree in an analytical field including Statistics, Mathematics, Physics, Computer Science, Engineering, or other related quantitative field. Master’s degree preferred
Responsibilities
  • Lead development of analytical frameworks to address business problems across recorded music, publishing, and concerts. Design experiments, measurement methodologies, and algorithms. Prototype solutions for implementation in analytic pipelines or tools
  • Develop decision support tools that assist stakeholders in evaluating business opportunities. Build models (descriptive, predictive, prescriptive) to quantify opportunity size, risks, rewards and analyze trade-offs among strategies, tactics, and environments
  • Develop operational metrics to assess the health of brands, products, and campaigns. Apply advanced analytics techniques (data mining, statistical analysis, machine learning) to build out in-depth knowledge of success drivers, their interactions and contribution to overall business performance
  • Build a holistic picture of audiences by analyzing transaction-level user behavior data to identify patterns, uncover opportunities, and create a common understanding of listener preferences and engagement
  • Partner with Technology teams on data projects, contributing to solution discovery, design, build and QA
  • Closely collaborate with the DMG Data & Analytics team, providing mentorship to more junior team members. Partner with various stakeholders across the company
The Walt Disney Company

The Walt Disney Company

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Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

1923