HR Decision Scientist Job-Disney - JOB WEB PORTAL

Jul 25, 2021

HR Decision Scientist Job-Disney

HR Decision Scientist Job-Disney


Location: Lake Buena Vista, Florida, USA


Company: Disney


Job Position: HR Decision Scientist 


JOB DESCRIPTION:

Qualification:

Education & Experience

  1. Bachelor’s degree in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics /Business Analytics or a related field

  2. Demonstrated proficiency with analytics software such as Dataiku, SAS Enterprise Guide, or Alteryx or database/statistical languages such as R, Python, and SQL
  3. Strong knowledge of statistical methods, forecasting, and model building (e.g. Cluster Analysis, PCA, Regression, Decision Trees/Random Forests, Structural Equation Modeling)
  4. Proven experience working in survey data (Item analysis, Scale Reliability, Key Drivers) but an appetite to combine with other data to take those analyses/insights to the next level (e.g. creating personas)
  5. Exceptional storytelling / presentation-building skills, including the ability to translate complex statistical concepts into simple and actionable insights
  6. Experience with leading and developing others
  7. Experience with HR / employee data (Workday), visualization tools, such as Tableau and/or Cognos, or large database environments (e.g. Snowflake, RedShift)
  8. Proven experience leveraging NLP/ML to understand social media trends/sentiment
  9. Advanced degree (Master’s or above) in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics, or a related field

Job Responsibility:

  1. Proactively identify analytical opportunities to answer business questions and drive action through clear actionable insights and storytelling

  2. Create accurate, sustainable statistical algorithms and machine learning processes that support HR business processes, tools, or products
  3. Build and work with large and complex data sets and measures to be used in analyses that drive business decisions
  4. Consult within clients and a team of analyst, translating business objectives and analytical needs into repeatable analytical solutions