Lead Data Scientist - Operations Research

McKesson

Irving, TX

Full Time

Senior

158k-263k

about 1 month ago

Job Description

About the Role

The Lead Data Scientist, Operations Research role at McKesson is responsible for architecting and implementing AI/ML, simulation, and optimization products to enhance the efficiency and effectiveness of McKesson's supply chain operations. This position involves applying data science methodologies to interdisciplinary business problems across Operations & Supply Chain, primarily focusing on strategic use cases around inventory and operating expense management. The role is part of McKesson's Supply Chain Operations Research COE and aims to drive analytic innovation, develop digital twins, and improve supply chain network design and optimization solutions.

Key Responsibilities

Develop stochastic process models and/or optimization models to provide data-driven recommendations to business unit stakeholders
Lead development and enhancement of enterprise-scale digital twins for network management and control
Develop supply chain network design, inventory, and transportation cost optimization solutions
Develop statistical simulation decision frameworks
Develop AI/ML-based solutions and enhancements to support simulation and optimization workstreams
Support stakeholders' analytic needs, gather user requirements, and help drive adoption of developed methodologies
Cultivate business development opportunities
Assist in developing and maintaining long-term stakeholder relationships

Requirements

A degree or equivalent with typically 10+ years of relevant experience; fewer years if holding relevant Master's or Doctorate qualifications
7+ years of operations research/data science experience based on industry and academic background
Demonstrated experience with solving enterprise network design, inventory, and transportation optimization problems
Experience with Gurobi, Xpress, CPLEX, or open-source solvers (CBC, GLPK)
Experience with local search techniques and advanced mathematical programming techniques such as column generation and decomposition
Knowledge of statistical programming (Python or R)
Fundamental statistical knowledge (e.g., random variables, probability distributions, confidence intervals, outlier detection)
Experience with Monte Carlo simulation
Ability in data extraction and wrangling using SQL
Ability to communicate technical concepts to non-technical audiences

Nice to Have

Knowledge of relational databases (e.g., MS SQL Server, Snowflake, Oracle)
Knowledge of data warehousing & ETL best practices
Knowledge of cloud computing platforms (e.g., Azure, AWS, Databricks)
Prior data mining experience using enterprise systems (SAP or JD Edwards)

Qualifications

Bachelor's degree in Operations Research, Statistics, Computer Science, Applied Mathematics, Engineering, or related quantitative majors
Master's and/or PhD preferred

Benefits & Perks

Competitive compensation package including base pay, annual bonus, and long-term incentives
Total Rewards program
Pay range of $158,000 - $263,300 aligned with McKesson's pay philosophy
Additional benefits as detailed in McKesson's benefits offerings

Working at McKesson

McKesson fosters a culture where employees can grow, make an impact, and are empowered to bring new ideas. The company values impact-driven work, innovation, and a collaborative environment focused on shaping the future of health for patients, communities, and employees.

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