Analytica is hiring a Data Scientist in Bethesda, MD (onsite) to lead statistical and AI/ML work for product safety analytics.

Use semantic coding and analysis to identify patterns and thematic insights across structured and unstructured data
Convert analytical results into actionable insights using data storytelling and visualization techniques
Develop interpretable and explainable analytics outputs to support decision-making
Design, implement, and maintain AI/ML models, including product similarity models
Build models using supervised and unsupervised learning approaches
Create and maintain models for anomaly detection, classification, regression, and pattern recognition
Assess model quality with robust performance metrics such as precision, recall, F1-score, and AUC to support accuracy, reliability, and fairness
Continuously improve performance through testing, validation, and tuning
Evaluate emerging technologies and new methodologies to address complex analytical problems
Apply modern development tools and frameworks (including GitHub Copilot and CI/CD pipelines) to streamline workflows and improve delivery efficiency
Optimize data science workflows for scalability and performance in cloud environments (Azure)

Bachelor’s Degree required; Master’s degree or Ph.D. preferred in Data Science, Machine Learning, Computer Science, Mathematics, or a related field
5+ years of experience developing statistical and AI/ML models with modern tools and best practices
3+ years building predictive models, including regression, classification, and NLP applications
3+ years hands-on experience with Python (including Pandas, Scikit-learn, PyTorch, or TensorFlow)
3+ years experience working in cloud environments (Azure preferred)
2+ years experience with SQL for data querying and manipulation
Strong experience with data visualization tools such as Power BI (or equivalent)
Proven ability to apply semantic analysis or coding techniques within ML workflows
Strong written and verbal communication skills, including the ability to explain technical concepts clearly
Experience using Git-based version control for collaborative development
Ability to work in Agile teams, contributing to sprint planning and iterative development
Proven experience collaborating with technical and business stakeholders to deliver high-quality, data-driven solutions

Data Scientist

Job Description