Senior Data Scientist; Machine Learning & Optimization

Position: Senior Data Scientist (Machine Learning & Optimization)
Job Title:

Senior Data Scientist (Machine Learning & Optimization)
Work Location & Reporting Address:
Fort Worth, TX 76155 (Onsite-Hybrid. Local candidates only)

Must Have

Skills:

Graduate degree in a quantitative field (Operations Research, Industrial Engineering, Applied Math, Data Science, etc.)
Strong Python development experience in building production applications
Proven experience designing and implementing deterministic optimization models using solvers such as Gurobi, CPLEX, or Xpress (ideally MIP-based

Nice to Have

Skills:

Experience with dynamic or stochastic optimization / programming
Background in machine learning / predictive modeling and integrating forecasts into optimization workflows
Familiarity with CI/CD pipelines, automated testing (unit, integration), and cloud-based deployments
Experience in database integration using SQL, MongoDB, and/or other

Experience with transportation, supply chain, service part logistics, or spare parts systems

Detailed

Job Description:

Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions
Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development
Troubleshoot and debug complex issues; identify and implement solutions
Create detailed project specifications, requirements, and estimates
Research and implement new AI technologies to enhance current processes, security, and performance
Work closely with data scientists and product teams to build and deploy machine learning models, focusing on the technical aspects of model deployment.
Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment.
Monitor model performance and implement strategies for bias mitigation and explainability. Responsible for ensuring models are scalable and efficient in production environments.
Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications.
Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions.

Minimum Years of

Experience:

8 years

Certifications Needed:

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Interview Process (Is face to face required?)
Virtual and Face-to-face