Senior Data Scientist (Public Trust)

Praescient Analytics

$100K — $140K *
Education, Government & Non-Profit
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's, Ph.D., or equivalent in Data Science, Machine Learning, or a related field; OR 10 years of relevant work experience.
  • 5+ years designing and maintaining AI systems and predictive models.
  • 3+ years supporting data for criminal investigations into fraud or abuse.
  • 2+ years of advanced SQL data analysis, specifically SQL Server and PostgreSQL.
  • Proficient in Python using Pandas; experience in cloud environments is a plus.

Responsibilities

  • Design, test, and deploy machine learning models to detect fraud and non-compliance.
  • Collaborate with criminal investigators to support active cases and adapt analyses.
  • Apply NLP methods for unstructured text data analysis using OCR and LLMs.
  • Conduct data cleaning and quality analysis; develop dashboards to present findings.
  • Document methodologies to comply with evidentiary requirements.

Benefits

  • Comprehensive company-paid healthcare (premiums and deductibles).
  • 401(k) with company match.
  • Travel and performance incentives.
  • 3 weeks paid time off, plus Federal Holidays.
  • $5K annual training allowance for professional development.
  • $500 book allowance for resources.
  • Tuition reimbursement program.
Full Job Description
Location: Remote (Occasional Travel May Be Required)

Clearance: U.S. Citizenship Required; Public Trust

Position Overview:

As a Senior Data Scientist, you will design, implement, and maintain advanced fraud identification models and communicate analytical results to critical stakeholders. You will collaborate closely with criminal investigators to develop targeted predictive models, integrate natural language processing (NLP) into workflows, and establish repeatable analytical methods for massive datasets.

Key Responsibilities:
  • Model Development: Design, test, and deploy supervised and unsupervised machine learning models (regression, Bayesian, clustering, ensemble algorithms) to detect fraud, improper payments, or non-compliance.
  • Investigative Collaboration: Partner directly with criminal investigators to execute strategies supporting active cases, adapt analyses to shifting needs, and adhere to federal rules governing protected information (e.g., Rule 6(e)).
  • Text & NLP Analytics: Scale NLP methods to parse, clean, and analyze unstructured text data using OCR, semantic similarity, and Large Language Models (LLMs).
  • Data Quality & Visualization: Perform data cleaning and quality analysis on source tables. Create dashboards and visualizations (via Power BI, Python, etc.) to present methodology and findings to technical and executive leadership.
  • Compliance Documentation: Maintain thorough records and detailed methodology documentation compliant with criminal evidentiary requirements.

Required Qualifications:
  • Education: Master's, Ph.D., or doctorate-level equivalent degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR 10 years of applied work experience in these fields.
  • 5+ Years of Hands-on Experience in:
    • Designing, implementing, and maintaining advanced AI systems and predictive models (supervised/unsupervised).
    • Developing analytic rules and models using leading-edge fraud analytics tools and best practices.
    • Developing regression, classification, and statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ Years of Hands-on Experience in:
    • Providing data support for criminal investigations into fraud or abuse.
    • Manipulating data in Python utilizing Pandas (required).
    • Working in modern cloud environments (Azure preferred, AWS, or GCP; certifications a plus).
  • 2+ Years of Hands-on Experience in:
    • Advanced SQL data analysis (specifically SQL Server and PostgreSQL).
    • Developing and scaling NLP solutions.
    • Presenting technical methods and findings orally and via written products/visualizations to diverse stakeholders.

What We're Looking For:

We're looking for technically curious data scientists who enjoy exploring emerging technologies and applying them to real-world investigative challenges. Whether your expertise lies in machine learning, large language models, graph analytics, relationship discovery, or advanced AI techniques, you'll help build innovative analytical capabilities that strengthen government oversight, accelerate fraud detection, and support investigators in protecting the integrity of federal programs.

What you can expect from us:
  • 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
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

Similar Jobs

More Jobs at Praescient Analytics

More Education, Government & Non-Profit Jobs

Find similar Senior Data Scientist (Public Trust) jobs: