Production AI/ML Data Scientist – GenAI & NLP

HF Sinclair; 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 with match

Educational Reimbursement

Parental Bonding Time

Employee Discounts

Job summary

HF Sinclair in Dallas, TX seeks a Data Scientist to develop and continually improve production AI/ML solutions that support enterprise decision‑making and automation. This hands‑on role spans problem definition, experimentation, model development, deployment, and ongoing evaluation.

The role applies statistics, traditional ML, deep learning, generative AI, and agentic AI to enterprise use cases. You will own model development, evaluation, and continuous improvement; collaborate with engineering

Qualifications

• Six or more years of hands-on experience in applied data science, ML, or AI, including production deployment or support.
• Proficiency in Python and SQL with ML libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.
• Experience with NLP and generative AI techniques, including LLMs and retrieval-augmented generation.
• Experience deploying AI agents and evaluating their quality in enterprise workflows.
• Familiarity with production ML practices, including reproducible pipelines, model registries, versioning, monitoring, troubleshooting, and retraining.
• Experience with structured and unstructured datasets; cloud services and APIs.
• Ability to communicate results to technical and non-technical stakeholders.

Responsibilities

• Translate business challenges into AI/ML use cases with measurable success criteria.
• Data quality assessment and readiness prior to model development.
• Design, train, validate, and optimize ML models using structured and unstructured data.
• Evaluate and fine-tune pre-trained models, including NLP, DL, and LLMs for enterprise needs.
• Build GenAI and Agentic AI solutions with retrieval workflows, tool integration, and guardrails.
• Develop reproducible training/evaluation pipelines and work with engineers to productionize solutions.
• Monitor model performance, drift, latency, and costs; drive refinement and retraining as needed.
• Collaborate with data engineering, applications, platform, and business teams for secure, scalable solutions.
• Apply responsible AI practices with governance, documentation, and privacy controls.
• Document architectural choices and conduct technical reviews; mentor junior data scientists.
• Communicate results, risks, and business impact to stakeholders; contribute to solution design and presales.

Skills

Python

SQL

NLP / Generative AI

Model deployment / production ML

Experiment design

Data processing & analysis

Cloud services (AWS/Azure/GCP)

Education

Bachelor's degree in Computer Science or related field

Tools

MLflow

Kubeflow

Snowflake

Docker

Kubernetes

LangSmith / Langfuse

CI/CD practices

Job description

HF Sinclair in Dallas, TX seeks a Data Scientist to develop and continually improve production AI/ML solutions that support enterprise decision‑making and automation. This hands‑on role spans problem definition, experimentation, model development, deployment, and ongoing evaluation.

The role applies statistics, traditional ML, deep learning, generative AI, and agentic AI to enterprise use cases. You will own model development, evaluation, and continuous improvement; collaborate with engineering