Data Scientist (Simulation & Modeling)

Overview

On Site
BASED ON EXPERIENCE
Full Time
Contract - Independent
Contract - W2
Contract - 5+ mo(s)

Skills

PYTHON
SIMULATION MODELING
PROBABILITY THEORY

Job Details

Data Scientist (Simulation & Modeling)

Simulation Developer - Buying & Inventory Optimization

Location: Fully Remote (EST or CST preferred)
Contract: 6-month W2 contract (extension possible; long-term initiatives)
Pay Rate: $55-$62/hour (W2)
Schedule: Standard business hours

About the Role

We are supporting a large, well-known retail organization on a Buying & Inventory optimization initiative and are seeking a Data Scientist with strong simulation and modeling expertise. This role focuses on designing, building, and validating simulation frameworks to support inventory, supply chain, and operational decision-making.

The ideal candidate has a solid foundation in probability theory, stochastic modeling, and Python, with hands-on experience building scalable simulation solutions in cloud-based data environments.

This is a fully remote role, with preference for candidates located in EST or CST time zones. Candidates should be comfortable with technical interviews, including live Python coding.

Key Responsibilities

  • Design, develop, and deploy simulation models for inventory and operational systems
  • Apply probability theory, stochastic processes, and Monte Carlo methods to model uncertainty
  • Build and maintain simulation frameworks using Python, SQL, and PySpark
  • Develop solutions within Azure Databricks (ADB) or similar cloud data platforms
  • Collaborate with Data Engineers and Data Scientists to define simulation inputs and data pipelines
  • Validate, calibrate, and stress-test models using historical data and sensitivity analysis
  • Follow CI/CD best practices and manage code using GitHub
  • Ensure code quality, scalability, and maintainability in production environments

Required Qualifications

  • Minimum 2+ years of experience in data science, simulation, or modeling roles
  • Hands-on experience with simulation modeling and probability theory
  • Strong Python coding skills (required during interview process)
  • Experience with PySpark and large-scale data processing
  • Familiarity with Azure Databricks or similar platforms
  • Experience using CI/CD pipelines and GitHub
  • Ability to work independently in a remote environment

Preferred Qualifications

  • Background in retail, inventory, supply chain, or operations research
  • Experience supporting buying, demand planning, or inventory optimization initiatives
  • Exposure to cloud platforms such as Azure, AWS, or Google Cloud Platform

Pride Global offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

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