Job Title: Data Scientist

Location: Richmond, VA

Type: Full Time

Our client is looking for a curious and impact‑driven Data Scientist to help identify, evaluate, and communicate risks associated with advanced machine learning and AI models. In this role, you’ll work at the intersection of data science, engineering, and product, helping shape how models are validated, governed, and trusted across the organization.

What You’ll Do

Partner with cross‑functional teams—including data scientists, software engineers, and product managers—to identify and quantify model risk
Leverage a modern technology stack (open‑source ML frameworks, orchestration tools, vector databases, and model monitoring platforms) to extract insights from large, multi‑modal datasets
Build and test machine learning models to benchmark and challenge models currently running in production
Contribute to evolving model validation and governance frameworks for next‑generation AI solutions
Validate models across multiple business domains and clearly communicate findings to technical and non‑technical audiences
Present model risk assessments and potential business impacts to senior leaders and executives

What We’re Looking For

Innovative: Constantly exploring new technologies, methods, and industry trends
Creative: Comfortable tackling ambiguous problems and proposing new ideas
Technically strong: Hands‑on with open‑source tools and cloud‑based data platforms
Statistically minded: Experienced in model validation, back‑testing, and performance metrics (e.g., ROC curves, confusion matrices)
Data‑driven: Confident working with large, complex datasets from diverse sources

Technical Experience Includes:

Classification, clustering, sentiment analysis, time‑series modeling, and deep learning
Programming with Python, Scala, or R
Applying machine learning at scale

Qualifications

Required

Bachelor’s degree in a quantitative field plus 2+ years of data analytics experience, OR
Master’s degree in a quantitative field or an MBA with a quantitative concentration

Preferred

Master’s or PhD in a STEM discipline
Experience with cloud platforms
2+ years of hands‑on experience in machine learning and large‑scale data analysis

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Data Scientist