Lead Data Scientist & ML Supervisor (Hybrid)

Chord Energy; Houston (TX); Hybrid; USD 150,000 - 230,000; Full time

Job summary

A leading energy firm in Houston is seeking an experienced Data Science Supervisor to lead a small team of data scientists. You will manage the data-science backlog, oversee the full model lifecycle, and contribute to machine-learning solutions across various domains. The ideal candidate has over 7 years of experience in data science and strong skills in Python and SQL. This role offers a hybrid work schedule with flexibility for remote work.

Qualifications

• 7+ years in data science/ML including time-series, geospatial, and predictive modeling.
• Proficiency in Python (pandas, scikit-learn) and SQL.
• Ability to work in a fast-paced and fluid environment.

Responsibilities

• Lead a small team and manage the data-science backlog.
• Lead the full model lifecycle from design to deployment.
• Write Python/SQL and mentor the team on statistical rigor.

Skills

Python

SQL

Data Science/ML

MLOps practices

Strong coaching skills

Stakeholder management

Education

Bachelor’s degree in a quantitative field

Master’s degree or PhD in Data Science or Data Analytics

Tools

Azure ML

MLflow

OpenAI/Azure AI Foundry

Snowflake/feature store

Job description

A leading energy firm in Houston is seeking an experienced Data Science Supervisor to lead a small team of data scientists. You will manage the data-science backlog, oversee the full model lifecycle, and contribute to machine-learning solutions across various domains. The ideal candidate has over 7 years of experience in data science and strong skills in Python and SQL. This role offers a hybrid work schedule with flexibility for remote work.