Data Scientist I​/II​/Sr

Position: Data Scientist I/ II/ Sr
Job Summary
:
Boardwalk Pipelines is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry. They are seeking a Data Scientist I/ II/ Sr to develop data-driven models and insights that support operational efficiency and strategic decision-making, working closely with data engineers and business stakeholders.

Responsibilities
:

• Design, build, and deploy predictive models and machine learning (ML) algorithms to support asset performance, reliability, and commercial optimization.

• Conduct exploratory data analysis (EDA), 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.

• Leverage Amazon Web Services (AWS) tools such as Sage Maker, Redshift, Simple Storage Service (S3), Lambda, and Glue for model training, deployment, and data access.

• Collaborate with data engineers to ensure models are integrated into production pipelines and dashboards.

• Use version control (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to manage model lifecycle and reproducibility.

• Partner with operations, engineering, and commercial teams to identify high-impact use cases and translate business needs into analytical solutions.

• Present findings and recommendations through compelling data visualizations and storytelling using tools like Power BI or Tableau.

• Support the development of self-service analytics and promote data literacy across the organization.

• Document model assumptions, limitations, and performance metrics to ensure transparency and trust.

• Monitor model performance and retrain as needed to maintain accuracy and relevance.

• Implement MLOps practices to support scalable, automated model deployment and monitoring.

• Ensure compliance with data governance, privacy, and ethical AI standards.

• Stay current with industry trends and emerging technologies to continuously improve analytical capabilities.

Qualifications
:
Required
:

• 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, Tensor Flow, or PyTorch.

• Experience working with AWS services including Sage Maker, Redshift, S3, and Lambda.

• 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.

• Bachelor’s degree in Computer Science, Engineering, Statistics, or related field

Preferred
:

• Experience in the natural gas midstream or broader oil & gas industry.

• Familiarity with MLOps practices and tools for model monitoring and retraining.

• Exposure to geospatial data, sensor data, or SCADA systems.

• Experience with Power BI, Tableau, or similar BI tools.

• Knowledge of data governance, security, and compliance in cloud environments.

• Master’s degree

Company
:
Boardwalk Pipelines powers possibility with innovative energy infrastructure that helps markets grow and communities thrive. Founded in 2005, the company is headquartered in Houston, USA, with a team of  employees. The company is currently Late Stage.