Full-Time

Director of Data Science

Analytics Innovation, Retail & CPG

Confirmed live in the last 24 hours

McKinsey & Company

McKinsey & Company

10,001+ employees

Global management consulting for sustainable growth

No salary listed

Expert

Company Does Not Provide H1B Sponsorship

Boston, MA, USA + 4 more

More locations: Washington, DC, USA | Jackson Township, NJ, USA | Dallas, TX, USA | Atlanta, GA, USA

Category
Data Science
Data & Analytics
Required Skills
LLM
Python
Data Science
R
Machine Learning
Data Analysis
Requirements
  • Advanced degree in applied math, economics, statistics or other quantitative sciences
  • 10+ years of experience in the field of consulting and/or development, retail pricing or promotional management with experience in practical data analysis
  • Experience with advanced analytics techniques to model, forecast, and optimize decisions, particularly in pricing and promotions; includes econometric modeling, ML modeling techniques XGBoost and decision trees, and use of a Solver for optimization
  • Experience leveraging LLM models to solve business problems
  • Exposure to the use of Agentc AI
  • Experience developing analytical solutions for internal and/or external usage
  • Advanced knowledge in statistical packages and comfort working with teams that make heavy use of Python and R
  • Experience in managing a team of statistical analysts
  • Comfortable with ambiguity; self-motivated with strong sense of ownership
  • Excellent communication and influencing skills that can be employed when partnering with client and other partners in order to build relationships and achieve goals
  • Comfortable working with all levels of management, with ability to critically evaluate and communicate business issues/risks with conviction to client and partners
  • Ability to think and act with a focus on the holistic needs of the client and influence others to do the same
  • Analytical and strategic focus, with ability to drive exploration and draw conclusions from multiple data sources
  • Highly proficient at problem-solving challenging business issues with client and McKinsey consultants
  • Ability to juggle overlapping and frequent challenging commitment timelines and reprioritize as necessary to meet evolving business objectives
  • Ability to display empathy and leadership with clients and colleagues
Responsibilities
  • Provide Innovation Leadership by helping drive the innovation agenda for Retail & CPG Analytics across sciences, talent and tools by defining analytics use cases and aligning with a partner stakeholder group on the prioritization
  • Contributing to the roadmap for analytical code innovation, including bringing in additional analytical features, use of alternative modeling or AI/ML approaches and automation of Analytics at scale
  • Driving/overseeing some of the key architectural decisions as they relate to Analytics, from modeling to forecasting to optimization
  • Evaluating the benefits and risks of alternative modeling platforms and technologies, and make recommendations for future use
  • Provide Expert Leadership on Client Projects through engaging directly with clients and consulting teams to bring expertise to the specific engagement
  • Joining onsite with consulting teams to shape analytics approach, review data sciences insights, and help finalize client facing recommendations to optimize impact of insights
  • Developing client specific recommendations on project approach and draw from insights across clients to support proposal phases
  • Coaching clients, consulting team members and Periscope leads to drive knowledge and adoption of analytical best practices for the greatest impact

McKinsey & Company offers management consulting services to a wide range of clients, including corporations, governments, and non-profits, helping them address complex business challenges. Their services focus on strategy, operations, technology, and organizational transformation, and they charge fees based on project complexity. McKinsey aims to promote sustainable and inclusive growth by leveraging tools like QuantumBlack and Value Finder, which utilize AI and analytics to unlock new opportunities for clients. The company stands out from competitors through its partnerships with technology firms and its commitment to responsible practices and continuous improvement.

Company Size

10,001+

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

1926

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Simplify's Take

What believers are saying

  • Growing demand for AI-driven solutions boosts McKinsey's consulting services.
  • Increased interest in sustainability aligns with McKinsey's inclusive growth initiatives.
  • Expansion of digital transformation initiatives enhances McKinsey's market opportunities.

What critics are saying

  • AI-focused startups like Dutycast challenge McKinsey's position in AI consulting.
  • Collaboration with ORX may expose McKinsey to data privacy and security risks.
  • Hiring from other industries may lead to integration challenges within McKinsey.

What makes McKinsey & Company unique

  • McKinsey partners with tech giants like Google Cloud for innovative AI solutions.
  • QuantumBlack, AI by McKinsey, leverages AI to drive client innovation and growth.
  • Value Finder tool, developed with SAP, helps clients unlock new value sources.

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