Review Vacancy

Date Posted: 11/06/25
Applications Due: 12/05/25
Vacancy ID: 202064

Position Information

NY HELPNo

AgencyAttorney General, Office of the

TitleData Scientist: NYS Attorney General Investigations (6412)

Occupational CategoryLegal

Salary GradeNS

Bargaining UnitM/C - Managerial/Confidential (Unrepresented)

Salary RangeFrom $115228 to $115228 Annually

Employment Type Full-Time

Appointment Type Permanent

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

StateNY

Zip Code10005

Job Specifics

Duties Description Executive Division
Research and Analytics Department – New York City
Data Scientist
Reference No: RAD_NYC_DAS_6412
Application Deadline is December 5, 2025
Salary is $111,228 + $4,000 in location pay
To be considered for this opportunity, submit a complete application online at ag.ny.gov/job-postings/other
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 this position is to ensure OAG’s 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:
o Brainstorming with legal teams on the data required
o Acquiring data through public sources and assisting legal teams to acquire data from confidential sources to ensure the delivery of data sufficient for investigation
o Testing data for reliability
o Distilling and incorporating relevant academic and other analytical research
o Developing and executing appropriate methodologies for data exploration and analysis
o Clearly communicating findings verbally and through written reports and visualizations
o Continuously updating analysis in the face of feedback and new data
o Quantifying uncertainty in analytical findings
• Working closely with legal teams on all the aspects above and providing guidance and recommendations on decision making around data
• Additional responsibilities may include:
o Developing predictive modeling to detect anomalies
o Developing or programming new databases or data tools
o Writing fact and expert reports for submission to the court and defending analysis and findings in depositions
o Helping to maintain and improve the team’s shared computational infrastructure
o Staying informed of the latest advances in data tools and techniques and sharing newfound skills with the team
o Performing other duties as requested

Minimum Qualifications Qualifications/Skills:
• Advanced degree in economics, computer science, mathematics, applied statistics, engineering, or similar disciplines with demonstrated research capability or bachelor’s degree and equivalent experience and training
• At least two (2) years of demonstrated qualitative, quantitative, or investigative research abilities
• Git/github familiarity
• Experience with the following technologies:
o Programming, scripting and statistical languages (e.g., Python, R, use of dataframes)
o Data visualization software (e.g., Tableau, d3, altair, plotly, matplotlib, bokeh)
o Relational databases and advanced SQL queries
• Excellent oral, written, and presentation communication skills
• Ability to communicate technical concepts and results to non-technical audiences
• Highly organized, self-directed, and curious
• Personable and positive, with a high level of integrity
• Interest in public policy and social/economic justice
• Candidates with additional experience in any of the following are preferred:
o Linux command line tools
o Cloud, distributed, and container computing platforms (e.g. AWS, Redshift, EC2, docker)
o Machine learning frameworks (e.g. supervised and unsupervised methods such as neural networks, random forests, and generalized linear models)
o Natural Language Processing or Entity Resolution
o Familiarity with accounting principles such as GAAP, general ledger, and audits

Additional Comments The hiring rate for this position is $111,228 + $4,000 in location pay. As an employee of OAG, you will join a team of dedicated individuals who work to serve the people of our state 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. Additionally, OAG offers a robust Workplace Flexibilities Program with multiple options for employees, including telecommuting (up to two days per week) and alternative work schedules.

Candidates from diverse backgrounds are encouraged to apply. The OAG is an equal opportunity employer and is committed to workplace diversity.

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

How to Apply

Name Legal Recruitment Unit

Telephone 2124168080

Fax

Email Address recruitment@ag.ny.gov

Address

Street NYS Office of the Attorney General

Legal Recruitment Bureau - 28 Liberty St

City New York

State NY

Zip Code 10005

 

Notes on ApplyingApplications must be submitted online at ag.ny.gov/job-postings/other. Applicants must be prepared to submit a complete application consisting of the following:
• Cover Letter: You may address your letter to the Legal Recruitment Unit. Indicate why you are interested in this position and what makes you a strong candidate. You may wish to include information about what life experiences you will bring to the position that will enhance OAG’s ability to better serve the diverse population of this state.
• Resume
• Writing Sample: In lieu of a writing sample, please provide a code sample (data ETL and/or analysis in python and/or SQL; this can be a link to a public github/gitlab repo). Please include a cover page to provide the reviewer with any relevant context or background information.
• Reference List: Submit a list of three (3) professional references; supervisory references are preferred. For each reference, indicate the nature and duration of your relationship. Include contact information and email addresses for each reference. Please note that your references will not be contacted until after you interview for the position.