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Lead Data Scientist, Advanced Talent Analytics at Boston Scientific Corporation Malaysia

Arden Hills, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

0.0

Posted On

17 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, Natural Language Processing, Predictive Modeling, Scenario Modeling, Forecasting Methods, Data Engineering, Data Cleaning, Data Validation, Data Integration, AI, Stakeholder Consulting, Analytical Rigor, Creative Thinking, Data Visualization, R, SQL

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 Lead Data Scientist will deliver value in analytics roles, focusing on workforce planning and predicting supply and demand. They will consult with stakeholders to define business needs and deliver data-informed solutions.