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Data Scientist: Use Data to Develop Legal Hypotheses

Job in New York, New York County, New York, 10001, USA
Listing for: State of New York, USA
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 120383 USD Yearly USD 120383.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist: Use Data to Develop Legal Hypotheses (6463)
Location: New York

Position Information NY HELPS:
No55-b/c Eligible:
No

Agency:
Attorney General, Office of the

Title:

Data Scientist:
Use Data to Develop Legal Hypotheses (6463)
Occupational Category:
Legal Salary Grade: NS Bargaining Unit: M/C - Managerial/Confidential (Unrepresented)
Salary Range:
From $120383 to $120383 Annually

Employment Type

:
Full-Time Appointment Type :

Permanent

Internship:
No Jurisdictional Class :

Exempt Class

Travel Percentage : 0%
Schedule Workweek :
Mon-Fri Hours Per Week : 37.5

Workday From : 8:30 AM To : 5 PM Flextime allowed? :
No Mandatory overtime? :
No Compressed workweek allowed? :
Yes Telecommuting allowed? :
Yes Location County :
New York Street Address : 28 Liberty St :
City :
New York State: NY Zip Code: 10005

Job Specifics Duties Description :
Executive Division Research and Analytics Department—NYCData Scientist Reference No. _DAS_6463

Application

Salary is $116,233 + $4,150 in location pay To be considered for this opportunity, submit a complete application online at (Use the "Apply for this Job" box below). Goal:

The Research and Analytics Department in the Office of the New York State Attorney General (OAG) is seeking candidates for a full-time Data Scientist position. Data Scientists at OAG bring their skills to bear across a wide variety of cases and investigations. The Data Scientist will utilize a vast array of tools to explore datasets, develop new databases, and use statistical modeling to detect anomalies in information pertinent to OAG investigations.

The goal of the Data Scientist at OAG is to ensure that our most complicated cases and policy arenas have the benefit of advanced analytical tools, methodologies, and strategic thinking to understand how otherwise elusive trends can be laid bare once we dive into the underlying data. Purview:

As part of an innovative team housed in the Executive Division, you will work with senior staff and divisions throughout OAG to support OAG's major initiatives, investigations, and policy development. Our team researches and writes analytical reports garnering national attention, directs multi-million-dollar grant programs, and supports OAG’s major investigations. See for example: lawsuit against auto lender for deceptive practices, preliminary report on NYPD response to Protests, JUUL lawsuit and remediation, opioids lawsuit, lawsuit preserving affordable housing from illegal kickback scheme, and the FCC fake comments report.

Utilizing a vast collection of public and confidential information, you will work with data covering the breadth of OAG’s purview building advanced analytic tools to inform investigations that affect the lives of all New Yorkers. Employing over 2,000 people across New York state, OAG is both the “People's Lawyer” and the state's chief legal officer. The Data Scientist will support OAG work in numerous legal and regulatory arenas, including protecting the rights of investors and consumers, coordinating state-wide criminal investigations, promoting civil rights, economic and social justice, encouraging harm-reducing public health strategies, and preserving the state’s environment.

The OAG also advises the Executive branch of state government and defends actions and proceedings on behalf of the state.

Duties:
Data can and does play a pivotal role in decisioning on a wide range of OAG’s work. The Data Scientist will be primarily responsible for:
• All aspects of using data to develop and test legal hypotheses, including:oBrainstorming with legal teams on the data requiredoAcquiring data through public sources and assisting legal teams to acquire data from confidential sources to ensure the delivery of data sufficient for investigationoTesting data for reliabilityoDistilling and…
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