Stochastic Modeling

Stochastic Modeling Data Jobs

2 jobs found

Today

Data Scientist, Sustainment Modeling & Simulation

AVNIK Defense Solutions, Inc. Huntsville, AL

Huntsville, AL

Today

Full time Analytics Business Intelligence Data

Apply Now

Job Description

AVNIK Defense Solutions, Inc. is seeking a Data Scientist or Data Analyst to support sustainment engineering analysis using USG Modeling & Simulation (M&S) tools for DEVCOM AvMC. This onsite role at Redstone Arsenal in Huntsville, AL focuses on logistics, sustainment, and procurement analysis for Army Aviation and Missile systems, including data extraction, analysis, and customer briefings.

Key Responsibilities

Interface with customers to define M&S requirements
Develop software pipelines to manage the M&S environment
Create charts, graphs, and conduct data analysis to deliver technical and engineering results to leadership and customers
Interpret M&S outputs to support customer briefing development
Prepare and present briefings covering analysis, current tasks, schedules, and goals
Provide technical analysis on Army platform logistics and sustainment key performance metrics
Contribute technical input for discussions related to technical issues, tasks, briefings, goals, and potential funding
Resolve technical M&S issues through debugging, research, and investigation
Manage workload across multiple projects or tasks while meeting delivery schedules
Demonstrate professional communication skills daily

Required Qualifications

Bachelor’s degree from an accredited college or university in Computer Science, Data Science, Statistics, Operations Research, Engineering (Aerospace, Industrial, Electrical, Mechanical, Systems, etc.), Applied Mathematics, Physics, or a related technical field, plus 5+ years of experience
MS degree may substitute for 2 years of experience
Additional relevant experience may substitute for the degree in accordance with the applicable contract labor category
US Citizen
Advanced software development skills (e.g., Python) and experience using version control (Git) in a team environment
Experience using databases with SQL queries
Familiarization with Statistical Methods, analysis, and theory (Linear Regression, Confidence Intervals, Probability Distributions)
Working knowledge of M&S theory (Discrete Event Simulation, Stochastic, Deterministic, Monte Carlo, Heuristic, etc.)
Advanced skills with MS Office tools including Excel and PowerPoint
Ability to clean and parse large and complex datasets
Experience writing technical reports and developing customer briefings
Self-starter with independence and strong work ethic
Excellent communication, teamwork, and problem-solving skills, with the ability to clearly communicate in discussions and written documents and deliver regular updates and feedback
Must hold an Interim SECRET clearance at start and be able to obtain and maintain a SECRET security clearance

Technologies

Python
Git
SQL
Linear Regression
Confidence Intervals
Probability Distributions
Discrete Event Simulation
Stochastic
Deterministic
Monte Carlo
Heuristic
Excel
PowerPoint

Desired Skills

Experience applying NLP (e.g., spaCy, named entity recognition) or LLM applications to unstructured text
Working knowledge of ML methods (regression, classification, neural networks) using Python libraries such as scikit-learn, PyTorch, or TensorFlow
Experience fitting and validating probability distributions (Weibull, exponential, lognormal) to failure and maintenance data, including goodness-of-fit testing
Experience with optimization methods (linear or mixed-integer programming) applied to logistics or resource allocation problems
Familiarity with Army logistics and maintenance data systems including GCSS-Army, TAMMS-A, AESIP, LMP, Army Vantage, and OSMIS
Experience calculating sustainment metrics including operational availability (Ao), materiel availability (Am), NMC rates, and O&S cost
Experience with visualization tools such as Power BI or Tableau
Experience with containerization (Docker, Kubernetes) or cloud environments (Azure)
Experience using USG sustainment M&S tools
Experience working in classified or air-gapped computing environments

Education & Citizenship Requirements

Candidate must be a US Citizen
Additional relevant experience may substitute for the degree in accordance with the applicable contract labor category
Advanced degree is a plus
MS degree may substitute for 2 yrs of experience

Additional Requirements

Ability to successfully complete Background Investigation including 50 State Criminal, Education, Employment, Credit, and Driving Records checks for continued employment
Must be able to obtain and maintain a SECRET security clearance; Interim SECRET clearance is required to begin employment

Work Location

Huntsville, AL (Redstone Arsenal, AL) onsite

View full job page →

1mo ago

Sr. Data Scientist, Ops Research

MCKESSON Irving, TX

Irving, TX

1mo ago Closed

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

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

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

Responsibilities

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.

Requirements

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.

Tools & Technologies

SQL, Python, R
Optimization solvers: CPLEX, Gurobi, Xpress, CBC, GLPK
Data and ML platforms: Databricks, Snowflake, Azure ML

Preferred Skills

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.

Location & Compensation

Location: Irving, TX (onsite)
Base pay range: USD 136,300 - 227,100 per year

View full job page →

Stochastic Modeling Data Jobs

Data Scientist, Sustainment Modeling & Simulation

Sr. Data Scientist, Ops Research

Get Stochastic Modeling Data Jobs alerts