Senior Data Scientist; Public Trust

Location: Bethesda, MD (Hybrid)
Clearance: Public Trust (Role may require additional background investigations)
Employment Type: Full-Time

US Citizenship is Required

Praescient Analytics is seeking a highly skilled Senior Data Scientist for support on a major federal data and analytics modernization program. This role leads the design, development, evaluation, and operationalization of advanced statistical, machine learning, and AI-driven analytics that directly support mission‑critical decision‑making in a regulated government environment.

This Senior Data Scientist plays a central role in advancing predictive analytics, real‑time hazard detection, semantic analysis, and AI‑enabled insight generation
, working across large‑scale structured and unstructured datasets. This position supports the federal client’s transition to a cloud‑native, open‑source analytics ecosystem and contributes directly to improving speed, accuracy, and effectiveness of mission outcomes.

• Design, develop, and deploy advanced statistical, machine learning, and AI models to support predictive analytics, anomaly detection, classification, regression, and clustering.
• Apply supervised and unsupervised learning techniques
  , including NLP and semantic analysis, to extract insights from structured and unstructured data sources.
• Conduct rigorous model evaluation using metrics such as precision, recall, F1‑score, AUC
  , and other performance and fairness indicators.
• Assess model robustness, bias, explainability, and suitability for use in high‑impact decision‑making environments.
• Perform advanced exploratory data analysis (EDA) to identify patterns, anomalies, and relationships across diverse datasets.
• Develop compelling data stories that communicate complex analytical results to technical and non‑technical stakeholders.
• Create dashboards, visualizations, and analytic products using Power BI or equivalent tools to support decision‑making and executive briefings.
• Work closely with data engineers, AI/ML engineers, analysts, architects, and Agile project managers in an iterative delivery environment.
• Contribute to Agile ceremonies, backlog refinement, sprint planning, and retrospectives.
• Mentor junior data scientists and contribute to shared analytical standards and best practices.

• Minimum of 8+ years of hands‑on experience developing advanced statistical and AI/ML models in production or mission‑critical environments.
• Demonstrated experience building predictive, classification, NLP, and anomaly detection models
  .
• Proven ability to work with large, complex, andli>

• Strong proficiency in Python
  , including libraries such as , and deep learning frameworks (PyTorch and/or Tensor Flow).
• Experience using SQL for data extraction, transformation, and analysisn
• Hands‑on experience in cloud‑based analytics environments
  , preferably Microsoft Azure
  .
• Experience developing dashboards and analytic visualizations (Power BI or equivalent).
• Familiarity with Git‑based version control and collaborative development workflows.

• Excellent written and verbal communication skills.
• Ability to translate complex analytical concepts into clear, decision‑ready insights.
• Proven ability to collaborate effectively in cross‑functional and Agile teams.

Clearance:
Minimum of a Public Trust U.S. Citizenship is Required

• Master’s or Ph.D. in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, or a related field — or equivalent professional experience.
• Experience supporting federal, public‑sector, or regulated environments
  .
• Familiarity with responsible AI frameworks
  , model governance, and ethical AI principles.
• Experience working with real‑time or near‑real‑time analytics pipelines
  .
• Azure certifications (Data Scientist, AI Engineer, or related) are a plus.

• Real opportunity for career growth in an environment where your achievements will be celebrated
• Constant collaboration with numerous teams to ensure client success
• A team that respects and embraces your ideas and expertise
• Co‑workers that are motivated by pursuing…