Top 6 renewable energy analyst Jobs in midlothian va

Data Analytics Specialist
National Computing Group —Richmond, VA
- $54.00 - $62.50 an hour
- Contract
- Hybrid work
- Computer Science
- 5 years
- Office
- 401(k)
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Senior Data Scientist (Python/R, ML, MLOps)
Computer Enterprises Inc —Richmond, VA
- $60 an hour
- Contract
- Computer science
- Computer Science
- AWS
- Health insurance
- Dental insurance
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Sr. Manager, Growth Strategy
AES Corporation —Richmond, VA
- $161,000 - $200,600 a year
- Full-time
- 7 years
- Office
- Analysis skills
- Health insurance
- Dental insurance
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SanAir —North Chesterfield, VA
- Extended hours
- Research
- Mid-level
- Bachelor's degree
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Data Analytics Specialist
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This role serves as a technical consultant and senior individual contributor within Dominion Energy’s Enterprise Data Analytics team, delivering advanced…
$54.00 - $62.50 an hour
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renewable energy analyst jobs near midlothian va

Data Analytics Specialist

National Computing Group -
Richmond, VA

Quick Apply

Job Details

Contract
$54.00 - $62.50 an hour

Benefits

401(k)

Qualifications

AI models
Performance dashboard reports
Performance monitoring
Data integrity assurance
Data quality checks
Power BI
Data visualization software proficiency
Predictive modeling analysis
Continuous Delivery (CD) implementation
Dashboard creation
R
Business intelligence report generation
Dashboard creation support
Application deployment
AI platforms (beyond public GPTs)
Demand forecasting analysis
Technical solutions implementation
Production systems
Business intelligence tools
Machine intelligence
Outlier detection
Bachelor's degree
Model deployment
Data quality monitoring
Data loading
Version control systems
Developing automated testing protocols
Data-driven problem-solving
Predictive analytics projects
DevOps automation

Full Job Description

Description: 5267

Local or drive in candidates ONLY, No 100% remote

Work Schedule: Alternate weeks in Richmond VA office; other week remote. (5 days in office, 5 days remote, repeating). No 100% remote

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

Soft Skill 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 Energy’s 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 Energy’s 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

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

Preferred Interview Process Overview (High level):

Teams – Camera On

Pay: $54.00 - $62.50 per hour

Benefits:

401(k)

Work Location: Hybrid remote in Richmond, VA 23219

Quick Apply

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renewable energy analyst jobs in midlothian va

Data Analytics Specialist

Senior Data Scientist (Python/R, ML, MLOps)

Sr. Manager, Growth Strategy

Polarized Light Analysts in STEM

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