McKinsey & Company, Inc.
Data Scientist II – QuantumBlack, AI by McKinsey
McKinsey & Company, Inc., Trenton, New Jersey, United States
Your Growth
Driving lasting impact and building long-term capabilities with our clients is challenging work. You are someone who thrives in a high-performance, high-reward culture—embracing hard work, resilience, and continuous learning.
In return for your drive, determination, and curiosity, we offer resources, mentorship, and opportunities to accelerate your leadership development. Your colleagues will invest in your growth as much as in delivering exceptional results for clients. Daily apprenticeship, coaching, and exposure will foster your professional growth in unique ways.
When you join us, you will have:
Continuous learning:
Our structured programs foster growth through clear, actionable feedback, encouraging ownership of your learning journey. A voice that matters:
Your ideas and contributions are valued from day one, enabling you to make a tangible impact with innovative solutions and diverse perspectives. Global community:
Collaborate with colleagues across 65+ countries and over 100 nationalities, fueling creativity and diverse insights. World-class benefits:
Alongside a competitive salary, we provide comprehensive benefits to support your and your family's well-being. Your Impact As a Data Scientist II, you will work with clients and interdisciplinary teams to develop advanced analytics and AI solutions, optimize code, and solve complex business challenges across various industries.
You will grow your expertise through cutting-edge projects, R&D, and conference participation, working alongside top talent in a dynamic environment.
Your work will drive meaningful change by uncovering data patterns and delivering innovative solutions to help clients stay competitive and transform their operations. Examples include:
Building digital twins for defense supply chains Using agentic AI to improve customer service for a global travel company Optimizing schedules and funding for large capital projects You will contribute across industries, with opportunities to specialize or diversify your expertise, including work in Defense, Aerospace, Utilities, Oil and Gas, and more.
Daily responsibilities include translating business questions into analytical approaches, conducting exploratory data analysis, designing and evaluating models, deploying solutions, and collaborating with engineering teams. You will also contribute to internal tools, participate in R&D, and attend conferences like NIPS and ICML.
This role is based in the U.S. and involves collaboration with global teams of data scientists, engineers, designers, and product managers.
Your qualifications and skills Bachelor’s degree in computer science with 2+ years of experience or advanced degree in related fields Experience applying machine learning and data mining techniques to real-world problems with large datasets Proficiency in SQL, Python, Spark/PySpark, and familiarity with tools like Airflow, Databricks, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure) GenAI experience is a plus: parameter-efficient tuning, RAG architectures, vector-store tech, LLM evaluation Strong time management and communication skills, with the ability to work autonomously and adapt to different audiences Willingness to travel
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In return for your drive, determination, and curiosity, we offer resources, mentorship, and opportunities to accelerate your leadership development. Your colleagues will invest in your growth as much as in delivering exceptional results for clients. Daily apprenticeship, coaching, and exposure will foster your professional growth in unique ways.
When you join us, you will have:
Continuous learning:
Our structured programs foster growth through clear, actionable feedback, encouraging ownership of your learning journey. A voice that matters:
Your ideas and contributions are valued from day one, enabling you to make a tangible impact with innovative solutions and diverse perspectives. Global community:
Collaborate with colleagues across 65+ countries and over 100 nationalities, fueling creativity and diverse insights. World-class benefits:
Alongside a competitive salary, we provide comprehensive benefits to support your and your family's well-being. Your Impact As a Data Scientist II, you will work with clients and interdisciplinary teams to develop advanced analytics and AI solutions, optimize code, and solve complex business challenges across various industries.
You will grow your expertise through cutting-edge projects, R&D, and conference participation, working alongside top talent in a dynamic environment.
Your work will drive meaningful change by uncovering data patterns and delivering innovative solutions to help clients stay competitive and transform their operations. Examples include:
Building digital twins for defense supply chains Using agentic AI to improve customer service for a global travel company Optimizing schedules and funding for large capital projects You will contribute across industries, with opportunities to specialize or diversify your expertise, including work in Defense, Aerospace, Utilities, Oil and Gas, and more.
Daily responsibilities include translating business questions into analytical approaches, conducting exploratory data analysis, designing and evaluating models, deploying solutions, and collaborating with engineering teams. You will also contribute to internal tools, participate in R&D, and attend conferences like NIPS and ICML.
This role is based in the U.S. and involves collaboration with global teams of data scientists, engineers, designers, and product managers.
Your qualifications and skills Bachelor’s degree in computer science with 2+ years of experience or advanced degree in related fields Experience applying machine learning and data mining techniques to real-world problems with large datasets Proficiency in SQL, Python, Spark/PySpark, and familiarity with tools like Airflow, Databricks, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure) GenAI experience is a plus: parameter-efficient tuning, RAG architectures, vector-store tech, LLM evaluation Strong time management and communication skills, with the ability to work autonomously and adapt to different audiences Willingness to travel
#J-18808-Ljbffr