Senior Data Scientist - Energy Analytics & ML Ops

Boardwalk Pipelines

Houston (TX)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Job summary

Boardwalk Pipelines seeks a Lead / Sr Analyst Data Scientist in Houston, TX to advance digital innovation by developing data-driven models and insights for operational efficiency and asset optimization.

The role emphasizes collaboration with data engineers, stakeholders, and leadership to deploy ML models, predictive analytics, and advanced visualizations within a midstream energy environment, using Databricks and AWS.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
  • 3-5+ years of experience in applied data science, preferably in the energy, utilities, or industrial sectors.
  • Proficiency in Python, SQL, and data science libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
  • Experience working with Databricks and AWS services.
  • Strong understanding of statistical modeling, machine learning, and data visualization techniques.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience working with large datasets and real-time or near-real-time data environments.

Responsibilities

  • Design, build, and deploy predictive models and ML algorithms to support asset performance, reliability, and commercial optimization.
  • Conduct Exploratory Data Analysis, feature engineering, and statistical modeling using Python, R, or similar tools.
  • Develop time series forecasting, anomaly detection, and classification models for operational and business use cases.
  • Apply geospatial and sensor data analytics to support pipeline monitoring, flow optimization, and risk assessment.
  • Partner with operations, engineering, and commercial teams to identify high-impact use cases and translate business needs into analytical solutions.
  • Present findings through compelling data visualizations and storytelling using tools like Power BI.
  • Monitor model performance and retrain as needed to maintain accuracy and relevance.
  • Implement MLOps practices to support scalable, automated model deployment and monitoring.

Skills

Python
SQL
Data visualization
Statistical modeling
Communication

Education

Bachelor’s degree in Data Science/CS/Engineering

Tools

Databricks
AWS
SageMaker
Redshift
S3
Lambda
Glue
Power BI
Tableau

Job description

Boardwalk Pipelines seeks a Lead / Sr Analyst Data Scientist in Houston, TX to advance digital innovation by developing data-driven models and insights for operational efficiency and asset optimization.

The role emphasizes collaboration with data engineers, stakeholders, and leadership to deploy ML models, predictive analytics, and advanced visualizations within a midstream energy environment, using Databricks and AWS.

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