We are Relativity. A market-leading, global tech company that equips legal and compliance professionals with a powerful platform to organize data, discover the truth, and act on it. The US Department of Justice, 199 of the Am Law 200, and more than 329,000 enabled users trust Relativity during litigation, internal investigations, and compliance projects.

Our SaaS product, RelativityOne, has become the fastest-growing product in the company's history and we have consistently been named a great workplace. As we grow, we continue to seek individuals that will bring their whole, authentic self to our team.

We believe that great talent is not bound by geography and that what you do matters more than where you do it. Relativity has assumed a hybrid work strategy, allowing choice and flexibility for employees to work either from home, a physical Relativity office location (once safe to do so), or a combination of the two, within certain logistical boundaries. Submit your application to learn more from our recruiters or contact us for more details.

Lead Data Scientist working directly with SRE/Performance Engineering team to drive continuous and sustainable improvement of performance and reliability metrics across RelativityOne. Leverage database, infrastructure, and operational expertise to bring the most complex issues to a quick resolution. Increase the quality of execution by use of operational patterns and best practices; lead Engineering and Service Delivery teams towards the implementation of those practices.

Responsibilities

• Build customized statistical modeling tools for accurate prediction and inference for cloud-scale software reliability
• Collaborate with operations and engineering teams to drive product changes based on developed operational metrics insights
• Develop SRE internal standards, processes, and tooling with Data Science based approaches

Preferred Qualifications:

• Experience with Stan, PyMC, or another probabilistic programming languages 
• Deep understanding of the fundamentals of Bayesian Inference, MCMC, and Autocorrelation/Time Series Modeling
• Experience working in a SaaS environment

Minimum Qualifications:

• The ideal candidate has a demonstrated interest and formal training in data science; candidates with non-traditional schooling backgrounds, as well as candidates with Advanced degrees (Masters or PhD) in Statistics, Data Science, Machine Learning, or a related field, are encouraged to apply
• Proficient with languages such as Python or R
• Intentional communicator – uses inclusive language whenever possible, communicates
• data science concepts to colleagues of all backgrounds uses technical vocabulary

At Relativity, we live our core values and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service, and we’re always looking for people to join us on the journey.

Relativity is a team of smart, passionate people always looking to grow, contribute, and make our product and customer service the best it can be. Our team members come from diverse backgrounds with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they’re empowered to be their full, authentic selves, regardless how you identify. 

So, please come as you are. We can’t wait to meet 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.