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Data Scientist - Food Safety and Inspection Service
Data Scientist
Data Scientist role focused on applying advanced analytics, statistical modeling, and machine learning to improve food safety risk assessments and operational planning using Python, R, and SQL.
About the role
Key Responsibilities
- Design and implement predictive models and statistical analyses to support food safety risk assessment and policy development.
- Develop data pipelines and dashboards using Python, R, and SQL to transform raw data into actionable insights for stakeholders.
- Collaborate with cross‑functional teams to define analytical requirements, validate findings, and communicate results effectively.
- Apply machine learning techniques to large, heterogeneous datasets to identify trends, anomalies, and opportunities for process improvement.
- Maintain documentation of methodologies, code repositories, and data lineage to ensure reproducibility and compliance with federal standards.
Requirements
- Advanced degree (M.S. or Ph.D.) in Data Science, Statistics, Computer Science, or a related quantitative field.
- Proficiency in Python and R for data analysis, modeling, and visualization.
- Strong SQL skills for data extraction, manipulation, and database management.
- Experience building and deploying machine‑learning models in a production environment.
- Excellent problem‑solving abilities and communication skills to translate complex analytical results into clear recommendations.
Skills
pythonsqlmachine learning