Senior Data Scientist: GenAI & Production ML Expert

HollyFrontier; Dallas (TX); Presencial; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

401(k) Plan with match

Educational Reimbursement

Paid Time Off

Parental Leave

Descripción de la vacante

HF Sinclair Data Science is seeking a senior Data Scientist to develop and improve AI/ML solutions that support enterprise decision-making and automation. You will own model development, evaluation, and continuous improvement, partnering with engineering for deployment and operational controls.

You will translate business challenges into clearly defined AI/ML use cases, design training and evaluation pipelines, and mentor junior data scientists while collaborating with business teams.

Formación

• Six+ years hands-on data science, ML, or AI with production deployment responsibility.
• Bachelor’s degree in a technical field or equivalent experience.

Responsabilidades

• Translate business challenges into AI/ML use cases with measurable success criteria.
• Design, train, validate, and optimize ML models using structured and unstructured data.
• Evaluate and fine-tune NLP/LLMs for enterprise requirements.
• Build GenAI and agentic AI solutions with retrieval workflows and tool integration.
• Develop reproducible pipelines and collaborate with engineering for productionization.

Conocimientos

Python

SQL

ML/DL

NLP/LLMs

GenAI

Cloud

MLOps

Data modelling

Educación

Bachelor's degree in Computer Science or related

Herramientas

PyTorch

TensorFlow

Pandas

Scikit-learn

AWS/Azure/GCP

Docker

Kubernetes

Descripción del empleo

HF Sinclair Data Science is seeking a senior Data Scientist to develop and improve AI/ML solutions that support enterprise decision-making and automation. You will own model development, evaluation, and continuous improvement, partnering with engineering for deployment and operational controls.

You will translate business challenges into clearly defined AI/ML use cases, design training and evaluation pipelines, and mentor junior data scientists while collaborating with business teams.