Senior Data Scientist (NLP and Unstructured Data Analytics)
New
N
Node.DigitalFederal Data Science
Washington, District of Columbia, United States; Herndon, VA (Remote Work)Full-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- AWSPostgreSQLPythonSQLCloud ComputingMachine LearningMicrosoft SQL ServerAzurePandasNLP
Requirements
- 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.
- 5+ years designing, implementing, and maintaining advanced AI systems and predictive models.
- 5+ years developing analytic rules and models using leading edge analytic tools.
- 5+ years developing regression, classification, and other statistical models to identify anomalies.
- 3+ years providing data support for criminal investigations into financial fraud or abuse.
- 3+ years manipulating data in Python (Pandas required).
- 3+ years working in a modern cloud environment (Azure, AWS, or GCP).
- 2+ years conducting advanced data analysis in SQL (SQL Server and PostgreSQL).
- 2+ years developing and scaling natural language processing solutions.
- 2+ years presenting methods and findings to technical and non-technical stakeholders.
Responsibilities
- Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured text.
- Design, develop, test, and implement machine learning models targeting financial fraud and improper payments.
- Build and refine supervised and unsupervised models including regression, Bayesian, clustering, and ensemble approaches.
- Collaborate with criminal investigators to execute analytic strategies and support loan fraud cases.
- Document methodology and models to satisfy criminal evidentiary requirements.
- Build visualizations and dashboards to convey outcomes to investigative staff and OIG leadership.
- Coordinate with data engineering teams to support efficient machine learning and text processing pipelines.
View Full Description & ApplyYou'll be redirected to the employer's site
