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Capital One

Manager, Data Scientist

Richmond, VA · On-site

Manager, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling ...

Capital One

Manager, Data Scientist

Mclean, VA · On-site

Manager, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling ...

Capital One

Manager, Data Scientist

Mclean, VA · On-site

Manager, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling ...

McKinsey & Company

Senior Data Scientist

Atlanta, GA · On-site

You will contribute to McKinsey's growing body of healthcare AI knowledge; writing papers ... Exceptional time management and the ability to manage multiple work streams in a fast-paced ...

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Summit Therapeutics

The Senior Manager, Data Scientist role is part of the Commercial Operations team supporting the U.S. Business Unit--which includes, but is not limited to, Sales, Marketing, and Market Access. This ...

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Senior Data Scientist - Scientific AI

McKinsey & Company

Boston, MA • On-site

Full-time

Re-posted 12 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Job Summary:
McKinsey & Company is a global leader in management consulting, and they are seeking a Senior Data Scientist to join their scientific AI team. The role involves developing AI and machine learning models, supporting client discussions, and contributing to the firm's scientific AI offering while ensuring statistical validity and outputs of analytics models.
Responsibilities:
• Developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.
• Bringing distinctive statistical, machine learning, and AI competency to complex client problems.
• Helping build and shape McKinsey’s scientific AI offering.
• Playing a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets.
• Working in a multi-disciplinary team and building the firm’s reputation in the area of expertise.
• Ensuring statistical validity and outputs of analytics, AI/ML models, and translating results for senior stakeholders.
• Writing optimized code to advance our Data Science Toolbox and codifying analytical methodologies for future deployment.
• Working with cutting edge AI teams on research and development topics in a start-up like environment, serving as a Senior Data Scientist in a technology development and delivery capacity.
• Supporting the manager of data science on the development of data science and analytics roadmap of assets across cell-level initiatives.
• Delivering distinctive capabilities, models, and insights through work with client teams and clients.
Qualifications:
Required:
• Master’s degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
• ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision
• Proven experience applying machine learning techniques to solve business problems
• Ability to write production code and object-oriented programming
• Proven track record of end-to-end ownership of independent workstreams
• Good presentation and communication skills (both verbal and written), with the ability to explain complex analytical concepts to people from other fields/non-technical stakeholders
• Proven experience advising external parties and/or functions
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
Preferred:
• Experience with version control (GitHub)
• Strong programming experience in python (R, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, stats models, pymc, pytorch/tf/keras, langchain)
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What McKinsey & Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About McKinsey

Sourced by ZipRecruiter

In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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