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Job Opening details:-
Company Name :- The Walt Disney Company (Corporate)
Position Name :- HR Decision Scientist-Remote
Company Location :- Orlando, FL
Job Category : General Category 2
Full Job Description :-
Are you curious, creative, and love data? Do you love to learn new things and collaborate with colleagues to solve hard and interesting problems? Imagine yourself as a Decision Scientist in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources (HR) and across The Walt Disney Company. In this role, you will be able to blaze new paths in this data rich environment through statistical modeling, forecasting and employee research. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through advanced analysis, data visualization, and compelling storytelling.
You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analysis to actionable insights to provide decision support for workforce related issues.
Responsibilities :
Proactively identify analytical opportunities to answer business questions and drive action through clear actionable insights and storytelling.
Create accurate, sustainable statistical algorithms and machine learning processes that support HR business processes, tools, or products.
Conduct in-depth analysis to identify drivers of employee behaviors, forecast aggregated employee movements and actions, forecast and analyze cost of labor, programs, and return on investments.
Build and work with large and complex data sets and measures to be used in analyses that drive business decisions.
Consult within clients and a team of analyst, translating business objectives and analytical needs into repeatable analytical solutions.
Basic Qualifications :
Demonstrated proficiency with database/statistical languages such as R, Python, and SQL analytics or software such as Dataiku.
Strong knowledge of statistical methods, forecasting, and model building (e.g. Cluster Analysis, PCA, Regression, Decision Trees/Random Forests, Structural Equation Modeling).
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).
Experience with financial analysis including Return on Investment, Return on Expectations, Break-even Analysis, Program Evaluation, and forecasting of labor spend.
Exceptional storytelling / presentation-building skills, including the ability to translate complex statistical concepts into simple and actionable insights.
Bachelor’s degree in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics or a related field.
Preferred Qualifications:
Experience with leading and developing others.
Experience with HR / employee data (Workday), visualization tools, such as Tableau and/or Cognos, or large database environments (e.g. Snowflake, RedShift).
Proven experience leveraging NLP/ML to understand social media trends/sentiment.
Advanced degree (Master’s or above) in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics, or a related field.
Required Education :
Bachelor’s degree in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics or a related field.
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