AI-Driven Operations Research Specialist

McKinsey & Company

New York (NY)

On-site

USD 176,000 - 180,000

Full time

14 days+
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Job summary

McKinsey & Company seeks a highly skilled AI/ML professional to join cross-disciplinary teams that design and deliver innovative analytics products. You will work with data scientists, software engineers, and product managers to apply optimization techniques to real client challenges in supply chain planning and operations.

The role emphasizes building scalable analytics tools, open-source contributions, and direct presentation of results to client leadership, with opportunities to collaborate

Qualifications

  • Bachelor's, master's or PhD in CS, ML, statistics, mathematics, engineering or AI.
  • 5+ years deep technical experience in operations research/optimization or related data science work.
  • Programming experience in Python, C++, Java.
  • Proven application of operations research methods in the commercial world.

Responsibilities

  • Work in a multidisciplinary team to build AI and analytics products and technologies.
  • Apply operations research methods to client supply chain challenges from planning to logistics optimization.
  • Develop scalable analytics tools and open-source projects to enable practitioners.
  • Present results to client leadership and collaborate on implementation.

Skills

Python
C++
Java
Communication skills
Travel willingness
Operations research
NLP / Generative AI

Education

Bachelor's/Master's/PhD in CS/ML/Math/Engineering/AI

Tools

Kedro
PySpark
PyData stack
SQL
Airflow
Databricks
Docker
Kubernetes
AWS
GCP
Azure

Job description

McKinsey & Company seeks a highly skilled AI/ML professional to join cross-disciplinary teams that design and deliver innovative analytics products. You will work with data scientists, software engineers, and product managers to apply optimization techniques to real client challenges in supply chain planning and operations.

The role emphasizes building scalable analytics tools, open-source contributions, and direct presentation of results to client leadership, with opportunities to collaborate

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