Data Scientist - Customer One

McKinsey & Company, Inc.; San Jose (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

McKinsey & Company, Inc. seeks a data science professional to design, build, and deploy scalable ML models for customer value management and personalization.

You will adapt models to client needs, develop new algorithms, and curate high-quality data for advanced analytics. You will perform hyperparameter tuning, model validation, and efficiency optimization while collaborating with Data Engineers, PMs, and industry specialists to integrate models into client solutions and advance the CustomerOne

Qualifications

• Degree in Data Science, Computer Science, Statistics or equivalent experience preferred.
• Experience with cloud platforms (AWS/Azure/GCP) and Databricks is a plus.
• Experience with Generative AI tech including interfacing with foundational models (GPT-4).
• Familiarity with Spark, ibis, Docker, and analytics libraries (pandas, numpy, scikit-learn).
• Proven experience building and deploying ML models for advanced analytics.

Responsibilities

• Design, build, and deploy robust ML models for customer value management and personalization.
• Adapt and fine-tune models to deliver business value meeting client needs.
• Develop new algorithms to tackle emerging challenges and curate data.
• Perform hyperparameter tuning, model validation, and efficiency optimization.
• Collaborate with Data Engineers, PMs, and industry specialists to integrate models into client solutions.
• Take ownership of technical work streams and promote best practices in model development.
• Contribute to advancing the CustomerOne platform with cutting-edge AI technologies.

Skills

Python programming

Data science concepts

Hyperparameter tuning

Feature engineering

Model validation

Education

Degree in Data Science, Computer Science, or Statistics

Tools

AWS

Azure

GCP

Databricks

OpenAI GPT-4

Spark

ibis

Docker

pandas

numpy

scikit-learn

Python

Job description

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 will design, build, and deploy robust, scalable machine learning models tailored specifically for customer value management and personalization applications. As part of this process, you'll adapt and fine‑tune these models to guarantee they deliver significant business value while meeting client‑specific needs. You will develop new algorithms that tackle emerging business challenges, which include curating, wrangling, and preparing the high‑quality data necessary for these advanced analytics. To ensure optimal performance, you will routinely perform hyperparameter tuning, model validation, and continuous efficiency optimization. Collaboration is a key part of this position, so you'll work closely alongside cross‑functional teams—including Data Engineers, Product Managers, and industry specialists—to seamlessly integrate your models into client solutions and drive impactful results. You will take full ownership of your technical work streams, championing best practices in model development and deployment from start to finish. Additionally, your expertise will help advance our CustomerOne platform by integrating cutting‑edge technologies and methodologies, such as Generative AI. Beyond the technical build, you will be a vital partner to our internal users and clients, actively participating in joint problem‑solving sessions and guiding them on how to best leverage these machine learning models to achieve their business objectives.

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

• Degree in Data Science, Computer Science, Statistics, or equivalent experience preferred
• Experience with cloud platforms (e.g. AWS, Azure, GCP) and Databricks a plus
• Experience with Generative AI technologies, including interfacing with foundational models (e.g., OpenAI GPT‑4), designing AI Agents, and prompt engineering for various content creation tasks
• Familiarity with distributed computing frameworks (e.g., Spark, ibis), containerization (e.g., Docker), and analytics libraries (e.g. pandas, numpy, scikit‑learn)
• Proven experience in building and deploying machine learning models for advanced analytics use cases
• Proficiency in writing clean, maintainable, scalable, and robust code in Python in a professional setting
• Practical knowledge of data science concepts and best practices, including feature engineering, model validation, and hyperparameter tuning

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.

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.