Senior Data Scientist- Trace
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.
Relativity Trace is an early-stage business within Relativity that’s bringing a best-in-class communication surveillance platform to the global market. Our team’s vision is to build a world free of professional misconduct. Trace is the most flexible communication surveillance platform allowing compliance teams to have full control over how they monitor risk. It leverages innovative artificial intelligence to supplement compliance team capabilities to reduce false positive alerting and increase efficiency.
This Data Scientist will work closely with product leaders and the Compliance AI engineering team to build Artificial Intelligence (AI) and Machine Learning (ML) capabilities that pinpoint regulatory misconduct at financial services organizations. They will explore, validate, and guide implementation of inventive solutions that are new to the market, while also engaging our clients and industry with whitepapers, blog posts, and presentations.
- Own the data science and statistical decisions that make up our Compliance AI offerings.
- Apply experience and knowledge from a comprehensive understanding of data science to the specific opportunities we face with our products and features.
- Work directly with Product Managers and Engineers to interrogate and distill our clients' problems into their purest forms.
- Operate independently to conduct 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.
- Excellent, enthusiastic communicator
- Deep understanding of machine learning techniques and algorithms, such as Latent Semantic Analysis, Support Vector Machine, Natural Language Processing, 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.
- 3-5+ years of professional Data Science experience (no recent grads)
- Azure or other cloud platform experience a plus
- Experience with machine learning techniques and algorithms: LSI, SVM
- Legal industry experience preferred, not required