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Data scientist

Hybrid in Richmond, VA, US • Posted 3 hours ago • Updated 3 hours ago

Contract W2

50% Travel Required

Hybrid

$40 - $48/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Advanced Analytics
Google Cloud Platform
Machine Learning Operations (ML Ops)
R
Python
SCADA
data scientist
powerbi
tableau
Microsoft Power BI
Databricks
Dashboard
Amazon Web Services
Machine Learning (ML)
Dash Python
Statistical Models

Summary

Data Scientist, Hybrid (Richmond, VA)(Prefer local)

Skills and Experience

5+ years of hands-on experience in Data Science using Python and/or R, with a strong focus on analyzing large, complex, and high‑volume datasets
Proven ability to translate complex analytical findings into clear, actionable insights for business leaders, engineers, operations teams, and executives
Experience designing, developing, and deploying advanced analytics and machine learning solutions aligned to business objectives
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, images)
Expertise across machine learning, statistical modeling, forecasting, optimization, and anomaly detection, with real‑world application experience
Experience or 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
Experience or 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, Google Cloud Platform, Snowflake, Databricks, or similar) is a strong plus
Understanding of governance, security, and regulatory requirements for enterprise and utility data environments is preferred

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10238807
Position Id: 8954431
Posted 3 hours ago

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