Data Scientist

  • Location: Chicago
  • Department: Engineering
  • Work Status: Full-time


At Relativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects.

Here you can own your career in a community of values-driven people who help our customers around the world solve complex data challenges. If this sounds like the place for you, check out the details of this position below.

As Data Scientist, this person is responsible for applying data science principles and statistics across the organization to spot opportunities to solve customer problems with innovative solutions. The Data Scientist will work closely with product leaders and engineering managers to understand client needs and improve the efficiency and quality of document reviews. In this role, the data scientist will explore, validate, and guide the implementation of inventive solutions that are new to the market, while also acting as a thought leader to our customers and industry with with research papers, blog posts, etc.


  • Own the data science and statistical decisions that make up our Analytics offerings, including (but not limited to) Assisted Review, Conceptual Searching, Categorization, Communication Analysis, Clustering, and adding structure to unstructured data. 
  • Apply experience and knowledge from a comprehensive understanding of data science principles to the specific opportunities we face with our products and features.
  • Work closely with technical product managers and engineering managers to examine and distill our customers’ problems into actionable insights. 
  • Deeply understand Relativity’s analytics capabilities; explore and validate solutions with reliable and valid methods which cope with sub-optimal test data.
  • Operate independently to conduct these investigations while meeting deadlines.
  • Define and communicate solutions to architects and engineers, collaborating with team members through final implementation.
  • Promote solutions and act as a SME through blog posts, research papers, and white papers, as well as speaking at e-Discovery and Analytics conferences.  


  • Deep understanding of machine learning techniques and algorithms, such as Latent Semantic Analysis, Support Vector Machine, Neuro-Linguistic Programming techniques, Neural Networks, Ensemble methods, and/or Bayesian methods
  • 5 or more years of industry experience or equivalent experience advising product development and evaluating different solutions for best fit in a software product
  • PhD in Computer Science, Data Science, or Related Field (Preferred)
  • Azure Experience (Preferred)
  • Experience with Relativity’s machine learning techniques and algorithms: LSI, SVM (Preferred)
  • Legal industry experience (Preferred)

About Relativity

Relativity has over 160,000 users in 40+ countries from organizations including the U.S. Department of Justice, more than 70 Fortune 100 companies, and all of the Am Law 200. Relativity's cloud solution, RelativityOne, offers all the functionality of Relativity in a secure and comprehensive SaaS product. Our company has also been named one of Chicago's Top Workplaces by the Chicago Tribune for seven consecutive years. If you’re ready to grow with us, we’d love to hear from you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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