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Job description
Locations
Boston
Chicago
New Jersey
New York City
Raleigh
San Francisco
Silicon Valley
Southern California
Overview
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem‑solver who is energized by challenges? You have come to the right place.
Your Impact
Responsible for developing internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.
Provide statistical, machine learning, and AI competency to complex client problems, building and shaping McKinsey's scientific AI offering.
Play a pivotal role in creation/dissemination of cutting‑edge knowledge and proprietary assets, working in a multidisciplinary team.
Ensure statistical validity and output of analytics, AI/ML models, translate results for senior stakeholders, write optimized code to advance Data Science Toolbox.
Work in North American offices in the Life Sciences practice, as part of McKinsey's global scientific AI team focusing on therapeutics, chemicals & materials.
Collaborate with cutting‑edge AI teams on research and development, serving as a Senior Data Scientist in a technology development & delivery capacity.
Support the manager of data science on the development of data science and analytics roadmap across cell‑level initiatives, delivering capabilities, models, and insights.
Flexibility to hire at Senior Data Scientist I or II level based on experience.
Your Growth
Driving lasting impact and building long‑term capabilities with clients is challenging. You thrive in a high‑performance/high‑reward culture, doing hard things, recovering from setbacks, and seeking new solutions.
In return, we provide resources, mentorship, and opportunities to become a stronger leader faster than you thought possible. Colleagues at all levels invest in your development and client results.
Key Growth Opportunities
Continuous learning: Structured programs, clear feedback, fast‑paced learning, ownership of your journey.
A voice that matters: Your ideas and contributions have tangible impact, encouraging diverse perspectives.
Global community: Over 65 countries and 100 nationalities, diverse team culture.
World‑class benefits: Competitive salary plus comprehensive benefits package.
Qualifications and Skills
Master’s degree with 5+ years or PhD with 2+ years in statistics, mathematics, computer science, or equivalent research experience.
ML experience: causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision.
Strong programming experience in Python (R, C++ optional) and analytics libraries: pandas, numpy, matplotlib, scikit‑learn, statsmodels, pymc, pytorch/tf/keras, langchain.
Proven experience applying machine learning to solve business problems.
Experience with version control (GitHub).
Ability to write production code and apply object‑oriented programming.
Track record of end‑to‑end ownership of independent workstreams.
Good presentation & communication skills, explaining complex concepts to non‑technical stakeholders.
Experience advising external parties and/or functions.
Exceptional time management to meet responsibilities in a complex autonomous environment.
Industries
High Tech
Life Sciences
Capabilities
Technology
Equal Opportunity Statement (U.S. Applicants)
McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
Salary Estimate (U.S.)
Estimated range: $176,000 – $179,500 USD. This reflects our best estimate of the lowest to highest salaries for this role, noting that actual compensation may vary based on location, experience, start date, organizational needs, and may include bonuses.
Benefits (U.S.)
Comprehensive benefits including medical, mental health, dental, vision coverage, telemedicine services, life, accident, disability insurance, parental leave, family planning benefits, caregiving resources, retirement contributions, financial guidance, and paid time off.
Equal Opportunity Statement (Non‑U.S. Applicants)
McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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Worksite address
palo alto, CA, 94306, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.