HR Decision Scientist

This is a Full Time Job

Location: Burbank, California, United States; Lake Buena Vista, Florida, United States

Job Summary:

About the Role & Team
At Disney, we're storytellers. We make the impossible, possible. We do this through applying and developing innovative technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our dedicated team that delivers unparalleled creative content to audiences around the world!

Job Description
Are you curious, creative, and love data? Do you love to learn new things and collaborate with colleagues to address uniquely exciting business challenges? Envision yourself as a Decision Scientist on the Decision Science and Advanced Analytics team 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, deep data analysis, and ongoing application of scientific methods to accelerate the company's understanding of its employees. You will implement and contribute to the design of machine learning and statistical methods analyses that will turn data into information to enhance the Company's investment in its employees. The right person for this role is self-directed and has exceptional analytical abilities, intellectual curiosity and technical skills, a commitment to storytelling using data, and is passionate about using statistical methods and visualizations to provide decision support for workforce related issues.

What You Will Do
• Design, build, and implement accurate, sustainable, scalable, sophisticated statistical models and advanced machine learning processes that support HR decisions, business processes, tools, or products.
• Apply pioneering machine learning, statistics, or data mining techniques to address key workforce-related questions and measure the causal impact of HR initiatives.
• Develop scalable, reproducible, and efficient methods for data analyses and model development.
• Build and work with large and complex data sets from multiple systems and outside data sources.
• Consult with clients and analysts across the business, translating business objectives and analytical needs into repeatable analytical solutions.
• Share technical knowledge and provide guidance to analysts throughout People Insights and HR
• Present and explain results to technical and non-technical audiences through insightful visualizations that help tell a compelling story.

Required Qualifications & Skills
• Experience in using statistical, econometric, machine learning or data mining techniques to inform model development and business decisions in a professional or academic setting.
• Strength in analyzing data and developing machine-learning models in one or more data science programming language such as R or Python.
• Proven understanding of supervised and unsupervised machine learning algorithms, statistical methods, forecasting, and model building (e.g. Cluster Analysis, PCA, Linear and Logistic Regressions, Decision Trees/Random Forests, Boosted Decision Tree models).
• Exceptional storytelling / presentation-building skills, including the ability to translate complex statistical concepts into simple and actionable insights.
• Self-motivated, strong project management skills and proven ability to meet deadlines with minimal direction.
• Critical thinking skills born out of a deep intellectual curiosity and an open mind to pick up new analytical techniques as required.

Preferred Qualifications

• 2+ years of validated experience in using statistical, econometric, machine learning or data mining techniques to inform model development and business decisions in a professional setting.
• Experience with analytic workflow software such as Dataiku, Databricks, or Alteryx.
• Experience with HR / employee data (SAP, Success Factors, Workday).
• Experience with visualization tools, such as Tableau and/or Cognos, or large database environments (e.g. Snowflake, RedShift).
• Experience leveraging natural language processing methods.
• Experience operationalizing data science solutions.

Required Education

Bachelors degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field

This position can be located near any Disney Hub (Burbank, CA; New York, NY; Orlando, FL or Bristol, CT) with potential opportunities for remote work.

The hiring range for this position in California is $123,000.00 to $150,200.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.