Data Scientist

Knowesis Inc.
Washington, DC, United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$100,000.0 - $140,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Fraud Prevention and Detection Python (Programming Language) Machine Learning Natural Language Processing Neo4j Power BI Standard Sql Large Language Models Apache Spark Information Technology
+4 more
Data Analytics Entity Resolution Software Library Databricks

Job description

Knowesis is currently seeking an exceptional Data Scientist to join our team and provide invaluable support to the Pandemic Response Accountability Committee (PRAC), a committee of the Council of the Inspectors General on Integrity and Efficiency (CIGIE). The PRAC Analytics Center uses data analytics and investigative support to help federal Offices of Inspector General (OIGs) and law enforcement prevent and detect fraud, waste, abuse, and mismanagement across federal programs., * Build, test, validate, and deploy fraud detection rules and models, including data matching, entity resolution, anomaly detection, risk scoring, natural language processing, and machine learning.

  • Profile data, find gaps, and run exploratory analysis before modeling.
  • Maintain and recalibrate models already in production.
  • Build Microsoft Power BI charts and dashboards that explain results.
  • Check rule and model results with investigators to confirm they hold up.
  • Document methods, commented code, findings, and data issues so work passes quality review.
  • Take part in two-week sprints and use only AI tools the PRAC has approved.

Requirements

To be eligible for this position, candidates must have the ability to obtain and keep a Public Trust and possess U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position’s Public Trust requirements., * 3+ years of hands-on experience applying statistics or machine learning to real-world data.

  • Strong Python and SQL skills and experience with standard machine learning libraries.
  • Experience with at least one of: entity resolution, anomaly detection, or classification models.
  • Clear writing and the ability to explain results to people who are not data scientists.
  • Bachelor’s degree in data science, statistics, computer science, mathematics, or a related field, or equal experience.
  • Ability to obtain and keep a Public Trust., * Experience in fraud, program integrity, or financial crimes.
  • Experience with Azure Databricks or Spark.
  • Experience with Microsoft Power BI or Neo4j.
  • Experience with natural language processing or large language models.
  • Master’s degree in a quantitative field.

Benefits & conditions

Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products.

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