Senior Data Scientist W2 Only

Role: Senior Data Scientist

Location: Richmond Virginia 23219 (1 week in office 1 week remote)

Duration: 12 Months Contract

Job Description:

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

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

Thanks & Regards

Jitendra Shakya

PURPLE HIRES INC.

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