Lead Data Scientist, Advanced Talent Analytics
About The Position
Bachelor's degree in Business Analytics, HRM/People Analytics, I/O Psychology, or related field Minimum of 3 years' experience delivering value in analytics roles Minimum of 2 years' experience conducting analyses for workforce planning or predicting supply and demand using supervised and unsupervised machine learning Technical expertise in natural language processing, predictive modeling, scenario modeling, and forecasting methods Proficiency in R Experience with data engineering tasks such as data cleaning, validation, and integration from large and unstructured sources Use of AI to drive efficiency in analytics Proven experience consulting with stakeholders to define business needs and deliver data-informed solutions Demonstrated ability to solve complex and ambiguous problems using analytical rigor and creative thinking Strong attention to detail with a track record of producing high-quality, accurate analysis and reporting Demonstrated skill in communicating complex data insights in a clear and compelling narrative Proven ability to work effectively in a highly collaborative, global, and matrixed team environment Master's or PhD-level coursework or degree in Business Analytics, HRM/People Analytics, or I/O Psychology Experience in survey methodology and design at the business unit or enterprise level Background in competency modeling and assessment validation Experience using RPA, AI, or other advanced technologies in the analytics space Experience with Athena and SQL for data extraction Proficiency with Tableau, SQL, and Excel for data visualization and reporting
Requirements
- Bachelor's degree in Business Analytics, HRM/People Analytics, I/O Psychology, or related field
- Minimum of 3 years' experience delivering value in analytics roles
- Minimum of 2 years' experience conducting analyses for workforce planning or predicting supply and demand using supervised and unsupervised machine learning
- Technical expertise in natural language processing, predictive modeling, scenario modeling, and forecasting methods
- Proficiency in R
- Experience with data engineering tasks such as data cleaning, validation, and integration from large and unstructured sources
- Use of AI to drive efficiency in analytics
- Proven experience consulting with stakeholders to define business needs and deliver data-informed solutions
- Demonstrated ability to solve complex and ambiguous problems using analytical rigor and creative thinking
- Strong attention to detail with a track record of producing high-quality, accurate analysis and reporting
- Demonstrated skill in communicating complex data insights in a clear and compelling narrative
- Proven ability to work effectively in a highly collaborative, global, and matrixed team environment
Nice To Haves
- Master's or PhD-level coursework or degree in Business Analytics, HRM/People Analytics, or I/O Psychology
- Experience in survey methodology and design at the business unit or enterprise level
- Background in competency modeling and assessment validation
- Experience using RPA, AI, or other advanced technologies in the analytics space
- Experience with Athena and SQL for data extraction
- Proficiency with Tableau, SQL, and Excel for data visualization and reporting
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
