Data Scientist II - Scientific AI

McKinsey & Company; Austin (TX); On-site; USD 137,500 - 141,700; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Life, accident, and disability insurance

Generous retirement contributions program

Paid time off

Job summary

McKinsey & Company is seeking a data scientist for its Life Sciences practice, focusing on AI and machine learning development. With a Master’s or PhD degree and 2+ years of relevant experience, you will tackle complex client problems through innovative AI/ML solutions.

This role emphasizes continuous learning and offers competitive compensation with a comprehensive benefits package. If you have expertise in advanced mathematics and programming languages, consider joining our global Scientific AI team.

Qualifications

• Master's or PhD degree.
• 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research.
• 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 (pandas, numpy, matplotlib).
• Experience with version control (GitHub).
• ML experience with causality, Bayesian statistics & optimization, and design of experiments.

Responsibilities

• Develop internal knowledge and build AI and machine learning models.
• Support client discussions and prototype development.
• Ensure statistical validity and outputs of analytics and AI/ML models.

Job description

Locations: Atlanta, Austin, Boston, Charlotte, Chicago, Houston, New Jersey, New York City, Philadelphia, Pittsburgh.

YOUR IMPACT

Your work will be split between developing new internal knowledge, building AI and machine learning models and pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.

You will bring distinctive statistical, machine learning, and AI competency to complex client problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey's scientific AI offering.

You will play a pivotal role in the creation and dissemination of cutting edge knowledge and proprietary assets. You will work in a multidisciplinary team and build the firm's reputation in your area of expertise. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders.

You will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. You will be working in one of our offices in North America in our Life Sciences practice.

You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity.

You will be on McKinsey's global Scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals and materials (including small molecules, proteins, mRNA, polymers, etc.).

You will support the manager of data science on the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients.

YOUR GROWTH

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

• Master's or PhD degree
• 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
• 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 (R, Python, C++ optional) and the relevant analytics libraries (pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain)
• 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

FOR 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. Certain U.S. jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. The salary range for new joiners in this role in the United States, including all office locations where the job may be performed, is $137,500 - $141,700 USD gross per year. This reflects our best estimate of the lowest to highest salary for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

We also provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

FOR 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.