Senior Data Scientist: GenAI & Production ML

HF Sinclair Corporation; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

Dental Insurance

Paid Time‑Off

401(k) Retirement Plan

Educational Reimbursement

Parental Bonding Time

Employee Discounts

Job summary

HF Sinclair Corporation in Dallas, Texas is seeking an experienced Data Scientist to develop and improve production AI/ML solutions that support enterprise decision‑making and automation. You will own model development, evaluation, and deployment across business use cases.

You will collaborate with data engineering and engineering teams, apply NLP/LLMs, build reproducible pipelines, ensure responsible AI practices, and mentor junior data scientists in a fast‑paced environment.

Qualifications

• 5+ years of hands-on experience in applied data science, ML, or AI including model development.
• Bachelor's degree in a related field or equivalent work experience.

Responsibilities

• Translate business challenges into AI/ML use cases with measurable criteria.
• Design, train, validate, and optimize ML models using structured/unstructured data.
• Evaluate and fine-tune models, including NLP and large language models.
• Build GenAI/Agentic AI solutions with retrieval workflows and guardrails.
• Develop reproducible pipelines and productionize solutions with controls.
• Monitor model performance, drift, latency, and costs; drive improvements.

Skills

Python & SQL

NLP & Generative AI

ML Dev & Deployment

Cloud services

Data engineering

Model evaluation

Education

Bachelor's degree

Tools

MLflow

Kubeflow

Docker

Kubernetes

LangSmith

Job description

HF Sinclair Corporation in Dallas, Texas is seeking an experienced Data Scientist to develop and improve production AI/ML solutions that support enterprise decision‑making and automation. You will own model development, evaluation, and deployment across business use cases.

You will collaborate with data engineering and engineering teams, apply NLP/LLMs, build reproducible pipelines, ensure responsible AI practices, and mentor junior data scientists in a fast‑paced environment.