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Review Vacancy

Date Posted 07/12/19

Applications Due11/29/19

Vacancy ID72007

AgencyAttorney General, Office of the

TitleData Scientist - Medicaid Fraud Control Unit (NYC)

Occupational CategoryNo Preference

Salary GradeNS

Bargaining UnitM/C - Management / Confidential (Unrepresented)

Salary RangeFrom $0 to $0 Annually

Employment Type Full-Time

Appointment Type Permanent

Jurisdictional Class Exempt Class

Travel Percentage 0%

Workweek Mon-Fri

Hours Per Week 37.50


From 8:30 AM

To 5 PM

Flextime allowed? No

Mandatory overtime? No

Compressed workweek allowed? No

Telecommuting allowed? No

County New York

Street Address 28 Liberty Street

City New York


Zip Code10005

Minimum Qualifications The candidate is required to have the following knowledge and experience:
• 3+ years demonstrated experience in data analysis and data visualization required;
• Experience in SQL and a firm understanding of relational databases;
• Strong interpersonal skills – collaborate with people across functions and develop strong relationships;
• Ability to communicate with both technical and non-technical staff to understand issues and present analytical results;
• Strong proficiency in MS Excel.

The ideal candidate will have the following additional preferred knowledge and experience:

• Master's degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or other similar field of study;
• Knowledge of the healthcare industry and medical coding concepts (CPT, ICD-9 / 10, DRGs) and/or experience analyzing healthcare claims data;
• Strong proficiency in MS Access;
• Experience with common scripting languages (R, Python) or other open source data analytics tools (KNIME);and
• Experience leading and growing a team of data analysts preferred.

Duties Description The New York State Office of the Attorney General’s (OAG) Medicaid Fraud Control Unit (MFCU) is seeking a Lead Data Scientist to join its Electronic Investigative Support Group (EISG) based in the New York City office. The mission of MFCU is to investigate, prosecute and obtain criminal and/or civil remedies against individuals and corporate entities responsible for improper or fraudulent Medicaid billing schemes, as well as to investigate and prosecute allegations of abuse and neglect of residents in nursing homes and other residential healthcare facilities, and to make Medicaid program integrity recommendations for New York’s $70 Billion Medicaid program that serves over 7 million New Yorkers. From inception through disposition, MFCU uses a team based approach where attorneys, analysts, investigators and other professionals work together to uncover complex fraudulent conduct for which MFCU holds offenders accountable through both criminal prosecution and civil litigation. MFCU’s EISG manages a statewide network, consisting of eight (8) regional offices, and supports a 20+ terabyte data mart which serves as a primary data source in the investigation and prosecution of healthcare fraud and abuse.

Duties include, but are not limited to:

• Analyzing healthcare data, Medicaid claims and other data mining resources to identify instances of fraud, waste and abuse;
• Being an advocate for analytics-driven decision-making within MFCU;
• Evaluating new open and closed-source software to aid in MFCU’s mission;
• Act as a mentor and grow the technical capabilities and skills of MFCU analytical staff;
• Collecting, cleansing, and formatting large quantities of data;
• Conducting exploratory data analysis and drafting potential anomaly metrics;
• Translating historical patterns of fraud, waste, and abuse into features for modeling; and
• Collaborating with MFCU’s audit and investigative staff to validate potential models and recording requirements for future development.

Additional Comments OAG employees serve more than 19.85 million state residents through a wide variety of occupations. We offer a comprehensive New York State benefits package, including paid leave, health, dental, vision and retirement benefits, and family-friendly policies. As an employee of the OAG, you will join a team of dedicated individuals who work to serve the people of our State.

Candidates from diverse backgrounds are encouraged to apply. The Office is an equal opportunity employer and is committed to work place diversity.

Salary to be determined commensurate with experience.

PLEASE NOTE: Unless otherwise specified in the “Notes on Applying” section, the “Application Due” date associated with this posting is not the last day applications can be submitted. Applications for this position will be accepted by the hiring bureau on a rolling basis until a candidate is selected; recruitment for this position can be closed or suspended at any time. For the most current information on available position vacancies, applicants are advised to review the Office of the New York State Attorney General website ( or contact the Legal Recruitment Bureau via email at or phone at 212-416-8080.

Some positions may require additional credentials or a background check to verify your identity.

Name Sandra Jefferson Grannum, Esq., Bureau Chief



Email Address


Street NYS Office of the Attorney General, Legal Recruitment Bureau

28 Liberty Street

City New York

State NY

Zip Code 10005


Notes on ApplyingHOW TO APPLY

Applications are being received online. To apply, please visit our careers website: The reference code for the position is Reference No. MFCU_DAT_NYC_6109.

Applicants must be prepared to submit a complete application consisting of the following:
• Cover Letter (You may address to Sandra Jefferson Grannum, Esq., Bureau Chief, Legal Recruitment)
• Resume
• List of three (3) references with contact information and email addresses
• Writing Sample

Please note: Failure to submit a complete application will delay the consideration of your application.

If you have questions regarding a position with the OAG and the application process or you need assistance with submitting your application, please contact the Legal Recruitment Bureau via email at or phone at 212-416-8080.

For more information about the OAG, please visit our website:

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