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What Relativity Has to Offer: Relativity's software helps users organize data and quickly identify key issues during litigation, internal investigations, and compliance projects. They offer their employees great benefits like:
Job Type
Job Details
Posting Type
Hybrid
Job Overview
Are you looking for a hybrid or remote work opportunity? Are you interested in a workplace that allows for flexibility in your day? Are you ready for a workplace that provides benefits that suit your needs?Every year, the global justice system benefits from the insights of Relativity AI on billions of documents– and we are just getting started on our journey to use AI to improve each user experience, product, legal matter, and investigation at Relativity. We are focused on helping our users discover the truth more quickly, organize their data, and act on it with confidence.
Relativity has established a set of AI Principles to guide product development and underscore their commitment to developing responsible AI. These principles include building AI with purpose that delivers value for customers, empowering customers with clarity and control, ensuring fairness in AI development, championing privacy, placing the security of customers’ data at the heart of everything they do, and acting with a high standard of accountability.
As a team, we believe in exploration, experimentation, and bringing your curiosity to work every day. We know that you can’t innovate without experimentation — and a little failure happens on the path to invention. We use the latest and greatest to ensure we are the best. We experiment, ship, and learn every day.
About the AI Team at Relativity
Relativity is heavily invested in developing new AI products and features for our customers. Our team spans across many teams and functions across Relativity Engineering, including our data engineering team, ML Ops team, applied science team, and product-focused feature teams for our RelOne AI suite of products.
About the Senior Data Scientist Role
The Senior Data Scientist will leverage advanced analytics and machine learning to improve the experience of using our leading Legal Data Intelligence product. You will collaborate with other applied scientists, engineers, product managers and designers to hunt for performance bottlenecks, eliminate UX obstructions, and ensure predictability and reliability of our platform. Furthermore, you will contribute to our balanced portfolio of research, development, and operations of transformational generative AI technologies according to the responsible AI approach laid out by our AI Principles. Your models will contribute to our mission and help legal professionals to organize data, discover the truth, and act on it.
Job Description and Requirements
Responsibilities:
Analyse data originating from multiple sources across the application: telemetry, user behavior, audit logs, clickstreams.
Develop machine-learning models and algorithms to be released as new product features.
Collaborate with engineers to develop production-level code and contribute to the entire model deployment lifecycle.
Contribute to developing internal standards, processes and tooling for leveraging AI.
Collaborate with Product to ensure seamless integration of proposed solutions into existing features.
Minimum Qualifications:
An advanced degree in Computer Science, or a quantitative discipline, AND 3 years of relevant industry experience OR the equivalent of 6 years of relevant industry experience.
Excellent analytical skills and SQL proficiency.
Solid understanding of statistics and machine learning concepts.
Data modelling and engineering expertise.
Experience in the full model development lifecycle, including hosting models in production.
Proficient in programming and scripting in Python.
Intentional communicator – uses inclusive language whenever possible, communicates data science concepts to colleagues of all backgrounds, uses technical vocabulary judiciously and with intention.
Demonstrated ability to innovate and operate with a high level of autonomy.
Preferred Qualifications:
Experience with Bayesian statistics and causal inference.
Working knowledge of Kubernetes.
Comprehensive knowledge of the MS Azure offering, with emphasis on ML and analytics products.
Legal industry experience, or interest in the legal industry and justice system.
Relativity is a diverse workplace 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 of how you identify.
Benefit Highlights:
Comprehensive health plan
Flexible work arrangements
Two, week-long company breaks per year
Unlimited time off
Long-term incentive program
Training investment program
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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Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
216 000 and 324 000PLNThe final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains... Read more