Lead Data Scientist: Energy Analytics & ML Ops

Bwpmlp; Houston, Northern (TX, KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Boardwalk Pipelines, LP in Houston, TX is seeking a Lead/Sr Data Scientist to advance digital innovations. You will design and deploy ML models, forecast operations, and craft dashboards to improve asset performance and reliability.

The role requires strong Python, SQL, and ML skills, with Databricks and AWS experience. You will collaborate with data engineers and business teams to translate data into actionable insights in a midstream energy context.

Qualifications

• Bachelor’s or Master’s degree in a relevant technical field.
• 3–5+ years of applied data science experience in energy/industrial sectors.
• Proficiency in Python, SQL, and libraries like pandas and scikit-learn.
• Experience with Databricks and AWS services; strong ML fundamentals.
• Ability to translate complex data into actionable insights for stakeholders.

Responsibilities

• Design, develop, and deploy ML models to optimize assets and operations.
• Perform EDA, feature engineering, and statistical modeling.
• Create time-series forecasts, anomaly detection, and classification models.
• Leverage Databricks and AWS tools (SageMaker, Redshift, S3, Lambda, Glue).
• Collaborate with data engineers to productionize models and dashboards.
• Apply MLOps practices for scalable deployment and monitoring.

Skills

Python

SQL

Pandas

scikit-learn

TensorFlow

PyTorch

MLOps

Data Visualization

Geospatial data

Power BI

Education

Bachelor’s degree in Computer Science, Data Science, Engineering

Tools

Databricks

AWS

Power BI

Tableau

Git

MLFlow

Job description

Boardwalk Pipelines, LP in Houston, TX is seeking a Lead/Sr Data Scientist to advance digital innovations. You will design and deploy ML models, forecast operations, and craft dashboards to improve asset performance and reliability.

The role requires strong Python, SQL, and ML skills, with Databricks and AWS experience. You will collaborate with data engineers and business teams to translate data into actionable insights in a midstream energy context.