Senior Data Scientist - QuantumBlack, AI by McKinsey

McKinsey; New York (NY); On-site; USD 176,000 - 180,000; Full time

Benefits offered by this job

World-class benefits

Job summary

McKinsey & Company is seeking a senior data scientist for QuantumBlack, AI by McKinsey, to lead development of cutting-edge AI/ML solutions and mentor teams.

You will work with data engineers, ML engineers, designers and product managers, applying deep learning and modern tooling to deliver measurable business impact across industries and geographies.

Qualifications

• Advanced analytical, data science and statistics methods applied in commercial settings.
• Experience with distributed computing or NoSQL is a plus.
• Client-facing experience in data warehousing or ML projects.
• Willingness to travel and strong presentation skills.

Responsibilities

• Lead development of AI/ML solutions across industries delivering measurable impact.
• Mentor data scientists and shape the R&D roadmap for QuantumBlack, AI by McKinsey.
• Collaborate with data engineers, ML engineers, designers, and product managers on end-to-end analytics projects.
• Build end-to-end analytics solutions that create real-world impact.

Skills

Creative problem-solver

Leadership

Willingness to travel

Presentation & communication

Education

Bachelor's/Master's/PhD in CS/ML/Statistics/Math/Engineering/AI

Tools

Python

SQL

Docker

Kubernetes

Databricks

Airflow

Kedro

PySpark

Job description

• Atlanta
• Boston
• Chicago
• New Jersey
• New York City
• Raleigh
• San Francisco
• Washington DC

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've come to the right place.

YOUR IMPACT

You’ll lead the development of cutting‑edge AI and machine learning solutions that tackle some of the most complex business challenges across industries‑delivering measurable impact at scale.

You will leverage the latest advances in deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape the QuantumBlack, AI by McKinsey R&D roadmap, and identify high‑potential machine learning initiatives for industry applications. Working closely with data engineers, machine learning engineers, and designers, you will build end‑to‑end analytics solutions that create real‑world impact.

Your work will transform industries. By leveraging advanced AI techniques and collaborating with industry leaders, you will help clients gain a competitive edge, solve critical challenges, and achieve lasting improvements in their operations.

You will be based in one of our North America offices and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you’ll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you will lead the development and application of cutting‑edge machine learning and AI solutions to drive measurable business impact.

You’ll thrive in an unparalleled environment for growth. You’ll work on high‑impact projects, connect technology with business value, and collaborate with inspiring multidisciplinary teams, gaining a holistic perspective of AI’s transformative potential while advancing as a technologist and leader.

YOUR GROWTH

Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture — doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination and curiosity, we’ll provide the resources, mentorship and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues‑at all levels‑will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

• 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

• Bachelors, master’s or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• 6+ years of deep technical experience in distributed computing, machine learning and statistics related work
• Programming experience in languages such as: Python, R, Scala, SQL
• Proven application of advanced analytical, data science and statistical methods in the commercial world
• Knowledge of distributed computing or NoSQL technologies is a bonus
• Client‑facing skills e.g. working in close‑knit teams on topics such as data warehousing, machine learning
• While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open‑source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
• Willingness to travel
• Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields and the ability to adjust your style to suit different perspectives and seniority levels

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people and the communities we serve.

Industries

Capabilities

• Technology

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 US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
To help you understand what you can expect, the salary range for new joiners in this role in United States, including all office locations where the job may be performed, is $175,500 - $180,000 USD gross per year. 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.