Data Scientist I​/II​/Sr

Position: Data Scientist I/ II/ Sr

Join to apply for the Data Scientist I/ II/ Sr role at Boardwalk Pipelines

We are a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services across 13 states. Our 14,000 miles of pipeline and storage assets create diverse market connectivity for producers and end-users that require reliable natural gas for power generation, home heating, or petrochemical feed stocks. We are committed to sustainability, environmental stewardship, safety, and compliance in delivering this energy source and supporting the communities we serve.

We are currently looking for a Data Scientist I / II / Sr for our Houston, TX office.

Position Description

The Data Scientist plays a key role in advancing digital innovation by developing data‑driven models and insights that support operational efficiency, asset optimization, and strategic decision‑making. This role works closely with data engineers, business stakeholders, and digital leadership to design and deploy machine learning models, predictive analytics, and advanced visualizations that drive measurable business outcomes.

Key Responsibilities Model Development & Advanced Analytics

• Design, build, and deploy predictive models and machine learning 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.

Cloud & Platform Integration

• Leverage Amazon Web Services tools such as Sage Maker, Redshift, 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 tools and CI/CD practices to manage model lifecycle and reproducibility.

Business Collaboration & Impact

• 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 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.

Model Governance & Continuous Improvement

• 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.

Required Skills, Knowledge, And Experience

• 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.

Preferred Skills, Knowledge, And Experience

• 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.

Required Education

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

Preferred Education

• Master’s degree.

Additional Information

Boardwalk Pipelines, LP maintains a drug‑free workplace and will require pre‑employment drug & substance abuse testing before hire.

Boardwalk Pipelines, LP is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Engineering and Information Technology

Industries

• Oil and Gas

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