Senior Data Scientist - Scientific AI

McKinsey & Company

Atlanta, GA Full-time 3/17/2026

Master's with 2+ Years of Experience

Approval 97.9%•Total filings 747•New hires 303•

💎 Strong Sponsor

•FY 2025

Job Description

As a Senior Data Scientist at McKinsey, you will develop AI and machine learning models, support client discussions, and ensure the statistical validity of analytics. You will work in a multi-disciplinary team, contributing to the firm's scientific AI offerings in life sciences and other sectors.

Requirements

Master’s degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
Experience in client delivery with direct client contact
Proven experience applying machine learning techniques to solve business problems
Proven experience in translating technical methods to non-technical stakeholders
Strong programming experience in python and relevant analytics libraries
Experience with version control (GitHub)
ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision
Ability to write production code and object-oriented programming

Responsibilities

Develop new internal knowledge and build AI and machine learning models & pipelines
Support client discussions and prototype development
Deploy directly with client delivery teams
Ensure statistical validity and outputs of analytics, AI/ML models
Translate results for senior stakeholders
Write optimized code to advance the Data Science Toolbox
Support the manager of data science on the development of data science and analytics roadmap
Deliver distinctive capabilities, models, and insights through work with client teams

Benefits

Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.

Is this job posting expired or no longer available?