The Walt Disney Company

Data Scientist II - Segmentation Data Science

The Walt Disney Company

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York

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Salary

💰 $145,500 - $195,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AirflowNumpyPandasPythonScikit-LearnSQLTableau

About the role

  • Design, build and improve machine learning models related to subscribers’ behavior
  • Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results
  • Collaborate with the team to productionize models
  • Drive experimentation to test the impact of the models
  • Develop comprehensive understanding of subscriber data structures and metrics
  • Mine large data sets to identify opportunities for driving growth and retention of subscribers
  • Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually
  • Partnership: 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
  • 3+ years of experience designing, building, and evaluating practical machine learning solutions
  • 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy , Pandas.
  • Experience with reading and writing complex SQL queries and using Databases
  • Deep understanding of machine learning concepts and statistical methods
  • Strong communication skills, for both technical and non-technical audiences
  • Desire to collaborate with other data scientists, data engineers, analysts, and business partners
  • Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field
  • Previous experience in marketing analytics and consumer insights, especially in the subscription services sector
  • Excellent analytical skills and advanced level of statistics knowledge
  • Familiarity with data exploration and data visualization tools such as Tableau, Looker
  • Experience developing interactive data apps using packages such as R Shiny or Streamlit
  • Strong expertise with Python and libraries such as scikit-learn and scipy
  • Familiarity with data platforms and applications such as Jupyter , Snowflake, Github , Databricks, Airflow