Senior Data Science Analyst (Hybrid)

We're hiring a Senior Data Science Analyst to join our team in Richmond, VA. This role offers a hybrid schedule, with one week of onsite work and one week remote.

Skills & Qualifications:

• Must be able to work on a W-2
• Hands-on experience as a data scientist on a project using Python or R
• 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
• Strong communication skills, both verbal and written
• Ability to lead, collaborate, or work effectively in a variety of teams, including multi-disciplinary teams

Preferred Skills:

• Experience with cloud and modern analytics platforms (AWS, Azure, GCP, Snowflake, Databricks, or similar)
• Understanding of governance, security, and regulatory requirements for enterprise and utility data environments

Key Responsibilities:

• Partner with business units to identify high-value data science use cases
• Design, build, and deploy predictive, prescriptive, and diagnostic models to support asset health and predictive maintenance
• Apply advanced techniques such as time series forecasting, survival analysis, optimization, clustering, NLP, and anomaly detection to 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
• 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

Education:

• Bachelor's degree or higher in Computer Science, Information Systems, or Mathematics

The hourly rate for this position is $62.51.

TM Floyd & Company is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

We offer a generous array of benefits, depending on the length of assignment. We also offer a referral bonus of up to $1,000. Ask us for more details!

TM Floyd & Company participates in E-VERIFY.

AAP, EEO

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