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# Data Scientist - Customer One

- **Company:** McKinsey & Company
- **Location:** San Jose, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Distributed Computing Environment, Python (Programming Language), Machine Learning, NumPy, Google Cloud, Feature Engineering, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Pandas, Containerization, Scikit Learn, Information Technology, Production Code, GPT, Docker, Databricks
- **Published:** July 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=82e171970133e039

## About the Role

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

## 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.


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