Econometrica, Inc.

Data Scientist

Remote, USPosted 12 days ago

Job Description

Job Description: About Econometrica, Inc.

Econometrica, Inc., is a research and management organization committed to providing high-quality, cost-effective economic and analytical services for clients in the private and public sectors. Since its founding in 1998, Econometrica has been involved in complex, high-profile contracts for numerous Federal departments and agencies in the healthcare, education, transportation, energy, housing, and finance sectors. Econometrica specializes in research, econometric, analytical, and technical support for our clients, with an emphasis on data science, data analytics, statistics, economic analyses, and program implementation and evaluation services.

The Opportunity

Econometrica is seeking an experienced Data Scientist to support advanced data analytics services for various Federal agencies. The selected candidate will work alongside a multidisciplinary team of data scientists, data engineers, and stakeholders to design, implement, and maintain fraud identification methods and communicate results to technical and non-technical stakeholders.

Tasks may include the following

  • Designing, implementing, and maintaining advanced AI systems and predictive models to identify financial fraud, improper payments, or non-compliance.
  • Developing and testing regression, classification, Bayesian, clustering, and ensemble models to identify anomalies, patterns, and predictive variables within large, complex datasets.
  • Performing data quality analysis on source tables to identify abnormalities or inconsistencies and developing repeatable processes for efficiently combining and analyzing large, structured and unstructured data sources.
  • Collaborating closely with criminal investigators to determine and execute analytical strategies supporting fraud investigations, while adhering to federal rules of criminal procedure governing protected information.
  • Integrating and scaling natural language processing (NLP)

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