Data Statistician

Jackson Lewis P.C - Melville, NY3.3

30+ days ago

Jackson Lewis P.C. is a law firm with more than 800 attorneys in major cities nationwide serving clients across a wide range of practices and industries. Having built its reputation on providing premier workplace law representation to management, the firm has grown to include leading practices in the areas of government relations, healthcare and sports law. The firm’s commitment to client service, depth of expertise and innovation draws clients to Jackson Lewis for excellent value-driven legal advice.

The Firm is ranked in the First Tier nationally in the category of Labor and Employment Litigation, as well as in both Employment Law and Labor Law on behalf of Management, in the U.S. News - Best Lawyers® “Best Law Firms”.

This position is located in Melville, NY (But can be seated remotely).

Job Summary (basic description)

This position will support our Affirmative Action Plan (AAP), Reduction in Force (RIF) and Class Action practice groups. Working knowledge of linear and logistic regression modeling and hypothesis testing. Position entails statistical estimation and testing for adverse impact in employer hiring, compensation, promotion and termination processes.

Essential Functions

  • Statistical estimation and testing for adverse impact in employer hiring, promotion and termination processes.
  • Linear and logistic regression modeling and hypothesis testing used in preventative pay equity reviews.
  • Collaborate with other team members and attorneys.


  • Programming tasks.

Qualifications/Skills Required

  • Two years of experience as a data statiscian preferred.
  • Written and verbal contact with client HR and legal professionals at Fortune 500 companies.
  • Ability to write programs/macros to automate repetitive statistical and data tasks required.
  • Critical thinking and problem solving skills required.
  • Proficiency with R, Strata is important; SPS, SPSS and other statistical software strongly preferred.
  • Strong organizational and communication skills.
  • Ability to multi-task and manage multiple projects, from start to finish, with shifting priority levels.

Educational Requirements

  • Minimum BS Applied Statistics/Mathematics/Computer Science, MS degree preferred.

Job Type: Full-time