Full Time Data Scientist Machine Learning Jobs in Washington, DC

***THIS POSITION IS FOR A PROPOSAL***

Knowledge Management, Inc. (KMI) has the leadership and experience to deliver innovative technology, logistics and management solutions to meet real mission requirements. KMI is a Minority Business Enterprise (MBE) and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research. Since 1998, our solutions and services have helped our clients improve performance, drive cost and operational effectives, and map technology needs for tomorrow's requirements.

Job Requisition: Sr. Data Scientist (2 openings)

Location: Washington, DC (remote with availability required between 6:00 a.m. and 6:00 p.m. EST, Monday through Friday)

Clearance: clearable for a Public Trust

Contract: 5+ years

Salary Range: Please provide your salary requirement

The Senior Data Scientist supports the SBA Office of Inspector General's Technology Solutions Division (TSD) in designing, testing, and deploying statistical and machine learning models that identify loan fraud, improper payments, and non-compliance within SBA programs. The role works alongside the Data Engineering position under this task order to translate existing TSD data assets, code repositories, and models into actionable analytic products for OIG auditors and criminal investigators.

The Senior Data Scientist will perform the following duties in direct support of SBA OIG's loan fraud detection and investigative mission.

Provide highly skilled and authoritative expertise on analytic methods in support of TSD's data analytic products.

Perform data quality analysis on source tables to identify abnormalities or inconsistencies.

Review, maintain, and support all existing loan fraud indicators developed by TSD.

Develop and refine repeatable processes for combining and analyzing large data sources, including relational tables and structured and unstructured datasets.

Collaborate with criminal investigators to determine and execute analytic strategies supporting loan fraud cases and adhere closely to federal rules of criminal procedure governing protected information.

Design, develop, test, calibrate, and deploy advanced statistical and machine learning models targeted at identifying financial fraud, improper payments, or non-compliance within SBA programs.

Develop and test predictive models using indicators of potential loan fraud, improper payments, or non-compliance.

Assist in developing case leads for SBA OIG investigations based on model outcomes.

Five (5) or more years designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised approaches.

Five (5) or more years developing analytic rules and models using current analytic tools and best practices.

Five (5) or more years developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.

Three (3) or more years providing data support for criminal investigations into financial fraud or abuse of government funds, with working knowledge of federal rules of criminal procedure governing protected information (e.g., Rule 6(e)).

Three (3) or more years manipulating data in Python, with required proficiency in Pandas.

Three (3) or more years working in a modern cloud environment (Azure, AWS, or GCP); relevant certifications are preferred.

Two (2) or more years conducting advanced data analysis in SQL, including SQL Server and PostgreSQL.

Two (2) or more years developing and scaling natural language processing (NLP) solutions.

Two (2) or more years presenting analytic methods and findings to both technical and non-technical stakeholders, orally and in written products and visualizations.

A Master's, Ph.D., or doctorate-level equivalent degree in data science, machine learning, computer science, mathematics, or a related field.

In the absence of an advanced degree, ten (10) years of applied work experience in data science, machine learning, computer science, mathematics, or a related field.

Certifications aligned to the cloud environment requirement such as Microsoft Certified: Azure Data Scientist Associate, AWS Certified Machine Learning Specialty, or the Google Professional Data Engineer credential, are preferred but not required.

Certifications supporting SQL Server, PostgreSQL, or natural language processing tooling are preferred but not required.

Benefits: All full-time employees are eligible to participate in our benefits programs:

• Health, dental, and vision insurance
• 401(k) retirement plan
• Paid time off (PTO) and holidays
• Group Term Life and Accidental Death and Dismemberment Insurance
• Voluntary Term Life Insurance
• Short and Long-term disability insurance

Equal Employment Opportunity Statement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

E-Verify Statement. Knowledge Management, Inc. participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, KMI is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

Pay Transparency Non-Discrimination Provision. Knowledge Management, Inc. will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Disability Statement. If you have a disability and need reasonable accommodation or assistance at any point in the application or onboarding process, please email us at marie@knowledgemanagement.com.