Data Scientist

| Chicago
At Relativity, we make great software that helps users organize data, discover the truth, and act on it. Our product is used by more than 13,000 organizations around the world – in the cloud, on-premises, or both – to manage large volumes of data.
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.

Relativity is looking for a Data Scientist to join the Analytics product vertical. As a Data Scientist, you will use your education and experience in Data Science and Statistics to solve client problems with visionary solutions. You will work closely with Technical Product Managers and Engineering Managers to understand our clients' needs which include reducing the time required to manually review large amounts of electronic documents while simultaneously improving the quality of the review. From there, you will explore, validate, and guide implementation of solutions which are new to the market and easy to understand to our end customers. The ideal candidate will have both a passion for innovative solutions and for engaging our clients and industry in research papers, blogs, and presentations.

Responsibilities

  • Own the data science and statistical decisions that make up our Analytics offerings, including (but not limited to) Assisted Review, Conceptual Searching, Categorization, Social Communication Analysis, Clustering, and adding structure to unstructured data.
  • Work closely with Technical Product Managers and Engineering Managers to interrogate and distill our clients' problems into their purest forms.
  • Explore and validate solutions with reliable and valid methods which cope with lacking optimal test data.
  • Operate independently to conduct these investigations while meeting deadlines.
  • Specify and communicate solutions to Architects and Engineers, collaborating with team members through final implementation.
  • Advocate solutions through publishing blog posts, research papers, and white papers, as well as speaking at E-discovery and Analytics conferences.

Qualifications

  • PhD in Computer Science, Data Science, or Related Field
  • Excellent, enthusiastic communicator
  • Expert in statistical analysis
  • Creative thinker – able to brainstorm many different types of solutions
  • Meticulous evaluator – able to research solutions, provide detailed pros and cons, and recommend course of action supported by data
  • Demonstrated knowledge of analytics industry trends and standards
  • Deep understanding of machine learning techniques and algorithms, such as LSI, SVM, NLP techniques, Neural Networks, Ensemble methods, Bayesian methods
  • Experience with SQL databases
  • Proficiency in data science toolkits like R, NumPy, TensorFlow, SparkML, Keras, scikit-learn
  • Experience with cloud Machine Learning Platforms, preferably Azure

Our software has more than 150,000 active users in more than 40 countries from organizations including the U.S. Department of Justice, more than 70 Fortune 100 companies, and more than 195 of the Am Law 200. We have grown significantly over the last several years and continue striving to build software that helps solve our customers’ toughest e-discovery and unstructured data challenges. 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.

Read Full Job Description

Technology we use

  • Engineering
    • .NETLanguages
    • C#Languages
    • JavaLanguages
    • Node.jsFrameworks
    • MySQLDatabases

Location

We’re a community of passionate, life-long learners tackling challenging problems. We care about each other and about our community.
231 South LaSalle Street, Chicago, IL 60604

Insider's spotlight

What’s the vibe like in the office?

"We always have our team members in mind. We treat each other like internal customers, going above and beyond when delivering on any request. These gestures of thanks show our genuine appreciation for one another."

Jessie

Finance

How do you collaborate with other teams in the company?

"Our colleagues and customers are intelligent—we can learn from them by asking questions and digging a little deeper into the 'how and why' of our software and industry, as everyone brings something different to the table."

Danielle

Certification Team

What makes someone successful on your team?

"Being great at your job means attacking the tough problems in technology and our industry with enthusiasm, and getting satisfaction from making life better for our customers."

Dan

Product Development

Perks of working here

401(K) Matching
Dental
Health Benefits
Stocked Kitchen
Vision
More Jobs at Relativity43 open jobs
All
Finance
Data + Analytics
Developer + Engineer
HR
Internships
Marketing
Operations
Product
Project Mgmt
Sales
Content
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Operations
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Content
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Marketing
new
Relativity
Sales
new
Relativity
Operations
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Finance
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Developer
new
Relativity
Project Mgmt
new
Relativity
Developer
new
Relativity
Internships
new
Relativity
Developer
new
Relativity
Data + Analytics
new
Relativity
Operations
new
Relativity
Product
new
Relativity
Product
new
Relativity
Sales
new
Relativity
Data + Analytics
new
Relativity