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# Data Scientist: Use Data to Develop Legal Hypotheses (6463)

- **Company:** NYS Governor's Office of Employee Relations
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $120,383.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Data Analysis, Computing Platforms, Artificial Neural Networks, Cloud Computing, Computer Programming, Databases, Relational Databases, Generalized Linear Model, Python (Programming Language), Linux Commands, Tensorflow, Computational Statistics, Tableau (Software), Scripting, Freeform SQL, Random Forest, Matplotlib, Information Technology, Plotly, Docker, Amazon Redshift
- **Published:** October 20, 2026
- **Apply:** https://statejobsny.com/public/vacancyDetailsView.cfm?id=227307

## About the Role

* 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 three (3) 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 Strong foundational background in mathematical statistics and probability, with knowledge of advanced statistical modeling and causal inference
o Demonstrated ability to apply statistical rigor to large, noisy datasets from first principles; knowledge of multivariate analysis, regression diagnostics, and validation methodologies

## Description

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, including relevant limitations
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