Hi Professionals-
*** THIS IS A W2 POSITION **
Dominion. Hybrid Richmond, VA. USC/GC only. $61.22/hr to candidate on my W2.
Required
Emphasis on:
• Experience designing, developing, and deploying advanced analytics and
machine learning solutions aligned to business objectives
• Expertise across machine learning, statistical modeling, forecasting,
optimization, and anomaly detection, with real world application experience
• Develop end to end data science solutions, from data acquisition and feature
engineering to model deployment and post production monitoring
• MUST have 5+ years of experience in Data Science using Python or R, with a
strong focus on analyzing large, complex, and high-volume datasets
Required Skills and Experience
• MUST have prior hands on experience as a Data Scientist on a project using
Python or R
• Proven ability to translate complex analytical findings into clear,
actionable insights for business leaders, engineers, operations teams, and
executives
• Ability to create clear, interpretable visualizations that tell a compelling
story, support decision making, and align with executive level messaging
• Demonstrated experience creating interactive dashboards, reports, and
applications (e.g., RShiny, Power BI, Streamlit, Dash) for business consumption
• Strong experience working with structured, semi structured, and unstructured
data (e.g., sensor/SCADA data, time series data, text, image
• Working knowledge of MLOps practices including model development lifecycle
management, automated testing, CI/CD pipelines, version control, and deployment
(e.g., MLflow, Dataiku, Azure ML, or similar tools)
• Strong understanding of model monitoring, including performance tracking,
explainability, bias detection, model drift, and reproducibility in production
environments
• Working knowledge of data engineering concepts, including data ingestion,
transformation, feature engineering, and data quality controls
• Experience with cloud and modern analytics platforms (AWS, Azure, GCP,
Snowflake, Databricks, or similar) is a strong plus
• Understanding of governance, security, and regulatory requirements for
enterprise and utility data environments is preferred
What soft skill requirements do you have (team fit and personality
requirements)?
• Strong communication skills both verbal and written
• Ability to lead, collaborate, or work effectively in a variety of teams,
including multi-disciplinary teams
Nice to Have Skills:
• Understanding and/or Experience with data engineering is a plus
• Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus
High Level Project Overview:
This role serves as a technical consultant and senior individual contributor
within Dominion Energys Enterprise Data Analytics team, delivering advanced
analytics and data science solutions that support operational reliability, grid
modernization, customer experience, and clean energy initiatives.
Key responsibilities include:
• Partner with business units such as Generation, Transmission &
Distribution, Grid Operations, Asset Management, Customer Operations, and
Finance to identify high value data science use cases
• Design, build, and deploy predictive, prescriptive, and diagnostic models to
support:
• Asset health and predictive maintenance
• Load forecasting and demand modeling
• Outage prediction, restoration optimization, and reliability analytics
• Grid resilience, renewable integration, and emissions reduction initiatives
• Customer behavior, billing, and energy efficiency programs
• Apply advanced techniques such as time series forecasting, survival analysis,
optimization, clustering, NLP, and anomaly detection to utility scale data
• Develop end to end data science solutions, from data acquisition and feature
engineering to model deployment and post production monitoring
• Support implementation of MLOps best practices to ensure scalable, reliable,
and auditable analytics solutions in compliance with enterprise and regulatory
standards
• Collaborate closely with data engineers, platform teams, and cloud architects
to ensure models are production ready and performant
• Build reusable analytical frameworks and accelerators that improve time to
value across the Enterprise Analytics portfolio
• Create intuitive visualizations, dashboards, and self-service analytics tools
that empower stakeholders to explore insights independently
• Mentor junior data scientists and analysts, contributing to analytics
standards, code quality, and best practices
• Support Dominion Energys commitment to safety, reliability, affordability,
and clean energy transformation through responsible and ethical use of data and
AI
Required Years of Experience:
• MUST have 5+ years of experience in Data Science using Python or R, with a
strong focus on analyzing large, complex, and high-volume datasets
Education:
• Education: Bachelors or higher required
• Discipline: Computer Science, Information Systems, Mathematics
Are there any specific companies/industries youd like to see in the candidates
experience?
• High Preference for candidates that have previously worked with a large scale
commercial utilities team but will review candidates who have a background with
large scale capital projects for companies
Thanks and Regard,
Joseph Adams
|jos...@sonsoftinc.com| |joseph...@sonsoftinc.com|
LinkedIn: https://www.linkedin.com/in/md-waseemuddin-joseph-adams-9121a22b/
https://www.linkedin.com/in/waseem-uddin-810227344/
|Yahoo IM: josep...@yahoo.com|
|fax: 678 317 9601|
|Land O' Lakes, Florida, United States|
"Coming together is a beginning. Keeping together is progress. Growing together is success...."