Boardwalk Pipelines · 2 weeks ago
Data Scientist I/ II/ Sr
Boardwalk Pipelines is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry. 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.
Oil and Gas
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 SageMaker, 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
Qualification
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, TensorFlow, or PyTorch
Experience working with AWS services including SageMaker, 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
Boardwalk Pipelines powers possibility with innovative energy infrastructure that helps markets grow and communities thrive.
H1B Sponsorship
Boardwalk Pipelines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Public CompanyTotal Funding
$1.65B2025-11-13Debt Financing· $550M
2024-02-08Debt Financing· $600M
2022-02-09Debt Financing· $500M
Recent News
bloomberglaw.com
2025-12-11
2025-12-11
2025-11-14
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