Data Scientist, Advanced Talent Analytics
at
Boston Scientific Corporation Malaysia
Maple Grove, Minnesota, United States
-
Full Time
Start Date
Immediate
Expiry Date
20 Jan, 26
Salary
0.0
Posted On
22 Oct, 25
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Medical Equipment Manufacturing
Description
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
Responsibilities
The Data Scientist will focus on advanced talent analytics to derive insights from data. This role involves utilizing statistical methods and machine learning techniques to support talent acquisition and management strategies.
Linked-in
Google