Stochastic Modeling Data Jobs

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Today

MCKESSON Irving, TX

Irving, TX

Today

$136k - $227k/yr Full time Azure Ml Big Data Cloud Platform

Build stochastic process simulation and optimization products to improve supply chain operations within McKesson’s Enterprise Data Science team.

Develop and apply digital twins and simulation/optimization frameworks to support decisions across supply chain areas including inventory, transportation, and labor planning.
Translate simulation and optimization outputs into actionable recommendations for business partners.
Architect, implement, and drive adoption of stochastic process simulation and optimization solutions; measure impact and make significant improvements to existing solutions.

Demonstrated experience developing stochastic process simulations to inform business decisions in inventory, transportation, or other supply chain-related domains.
Strong foundation in probability and statistics, including random variables, probability distributions, hypothesis testing, regression, and modern machine learning methods.
Demonstrated experience in data wrangling using SQL.
Experience with statistical modeling in Python and/or R.
Ability to communicate results to technical leaders and non-technical executive audiences.
Degree or equivalent, typically requiring 7+ years of relevant experience.

Experience with commercial or open-source optimization solvers (e.g., CPLEX, Gurobi, Xpress, CBC, GLPK).
Familiarity with reinforcement learning or approximate dynamic programming techniques.
Experience developing dashboards, applications, or decision-support tools that expose model outputs to business users.
Exposure to financial modeling, cost optimization, or pricing analytics.
Experience working in modern data and ML platforms such as Databricks, Snowflake, and Azure ML.

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