The Walt Disney Company

Senior Data Scientist

The Walt Disney Company

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $138,900 - $186,200 per year

Job Level

Senior

Tech Stack

AirflowPythonScikit-LearnSparkSQLTensorflow

About the role

  • Improve title-level content engagement forecasting models and create models for content targeting
  • Apply state of the art machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization
  • Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the service and content
  • Develop prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually
  • Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture

Requirements

  • Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study
  • 5+ years related experience with developing machine learning models and conducting statistical analysis
  • Deep understanding of machine learning concepts and statistical methods
  • Ability to draw insights and conclusions from data to inform model development and business decisions
  • Desire to collaborate with other data scientists, data analysts, and key business partners
  • Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow, scikit-learn, etc.)
  • Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)
  • Understanding of SQL and distributed data technologies (Hive, Spark)
  • NICE TO HAVES: MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)
  • NICE TO HAVES: Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC
  • NICE TO HAVES: Experience fully integrating data science solutions into the business and operationalizing ML models
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