Senior Data Scientist

Data Scientist
Location: Dallas, TX (Hybrid – 3 Days Onsite)
Interview: Virtual + In-Person
Candidates: Local Preferred | H1B Accepted

Job Summary
Seeking a Data Scientist with strong expertise in Python, Machine Learning, and Mathematical Optimization (MIP) to develop and enhance production-grade optimization solutions. The role focuses on building scalable optimization models, integrating predictive analytics, and deploying cloud-based AI applications.

Required Skills
Graduate degree in Operations Research, Industrial Engineering, Applied Mathematics, Data Science, or related field.
Strong Python development experience.
Hands-on experience with Mixed Integer Programming (MIP) using Gurobi, CPLEX, or FICO Xpress.
Experience building and maintaining production optimization applications.

Nice to Have
Dynamic/Stochastic Optimization
Machine Learning & Predictive Modeling
CI/CD, Automated Testing
Cloud Deployments
SQL, MongoDB
Supply Chain, Transportation, or Logistics domain

Key Responsibilities
Develop and maintain Python-based optimization models.
Design MIP solutions for materials distribution and scheduling.
Integrate ML/predictive analytics into optimization workflows.
Build scalable production applications with CI/CD and automated testing.
Collaborate with OR, engineering, and business teams to deliver impactful AI solutions.