Data Scientist
Core
Modernize a critical business simulation tool by converting legacy FORTRAN code to C++ and support data science/analytics initiatives using large datasets to drive informed business decisions.
Role type
Data Scientist (Software Modernization & Analytics)
Builds
Modernized business simulation tools, inventory optimization solutions, and AI-driven analytics for parts demand and supply chain performance.
Domain
Manufacturing (Construction & Mining Equipment) / Supply Chain & Inventory Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Legacy code modernization (FORTRAN to C++), Python, R, SAS, SQL, Dataiku, Power BI, Statistical modeling, Machine learning, NLP, Text analytics, Data mining, Simulation modeling, Inventory optimization
Preferred skills
Experience with agentic frameworks (LangChain, LangGraph), LLM prompt engineering, Operations research, Automation tools (Power Automate, Excel VBA), Supply chain domain expertise
Technologies
FORTRAN, C++, Python, R, SAS, SQL, Dataiku, Power BI, LangChain, LangGraph, Power Automate
Responsibilities
Convert legacy FORTRAN code to modern languages (C++), Develop and implement data models and machine learning solutions, Create Power BI dashboards for business insights, Perform statistical modeling for parts demand and inventory, Research and optimize data models and algorithms, Build AI-driven solutions using LLMs and agentic frameworks
Seniority
Mid-level, hands-on IC
