Data Scientist II – QuantumBlack, AI by McKinsey (Critical Industries)
at McKinsey & Company
Posted 6 days ago
No clicks
- Compensation
- $146,600 – $150,000 USD
- City
- Atlanta, Boston, Chicago, Dallas, New Jersey, New York City, San Francisco, Seattle, Silicon Valley, Southern California, Washington DC
- Country
- United States
Currency: $ (USD)
Data Scientist II at QuantumBlack, AI by McKinsey (Critical Industries) collaborates with clients and interdisciplinary teams to translate business questions into analytical approaches and develop impactful analytics and AI solutions across industries including Defense, Aerospace, Utilities, and travel/oil & gas. You will build production-grade models, deploy via APIs or batch pipelines, and assess model performance with rigorous metrics and A/B tests, while ensuring explainability, bias mitigation, and scalable, cost-efficient inference. The role offers exposure to cutting-edge projects, R&D, and opportunities to attend leading conferences like NIPS and ICML, with path to broader impact across industries. Based in one of our U.S. locations, you’ll work with data scientists, engineers, designers, and product managers around the world.
Data Scientist II – QuantumBlack, AI by McKinsey (Critical Industries)
Job ID: 100741
- Atlanta
- Boston
- Chicago
- Dallas
- New Jersey
- New York City
- San Francisco
- Seattle
- Silicon Valley
- Southern California
- Washington DC
Your Impact
- Build a digital twin of a defense supply chain to enhance military hardware availability.
- Leverage agentic AI to improve customer service outcomes for a global travel company.
- Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.
- Translate business questions into analytical approaches and select the right techniques for each problem
- Conduct exploratory data analysis
- Design, implement, and evaluate models—from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you’ll build production-grade RAG pipelines and assess LLM output quality / hallucinations
- Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
- Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
- Build models which are accurate, explainable, and free from bias
- Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
- Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.
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, all while upholding our unwavering commitment to ethics and integrity. 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
- U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
- Bachelor’s degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
- Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
- Development experience (focus on machine learning): SQL and Python’s data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients’ stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
- GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
- Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
- Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
- Willingness to travel
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity 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 US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $146,600 - $150,000 USD —to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] 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.
Additionally, we 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.
Job Skill Code - SADS - Data Scientist II
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Jul 23 00:00:00 GMT 2025
LinkedIn Posting City - Chicago
LinkedIn Posting State/Province - Illinois
LinkedIn Posting Country - United States
LinkedIn Job Title - Data Scientist II – QuantumBlack, AI by McKinsey (Critical Industries)
LinkedIn Function - Consulting;Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services
LinkedIn Seniority Level - Entry level
