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 many teams and functions across Relativity Engineering, including: data engineering, ML Ops, applied science, and product-focused feature teams working on our RelOne AI suite of products.


About the Senior Data Scientist Role



The Senior Data Scientist will leverage advanced analytics and machine learning to provide insights into and improve the experience of using our leading Legal Data Intelligence products. You will collaborate with other applied scientists, engineers, product managers and designers to understand our users’ behavior, define and measure success, 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 analysis and 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 our products: telemetry, user behavior, audit logs, clickstreams. Identify gaps in our data coverage and drive the efforts to fill them. 

• Communicate findings to stakeholders and equip them with the tools (e.g. dashboards) to discover more on their own. 

• Develop machine-learning models and algorithms to serve both internal and external needs. 

• 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 data and AI. 

• Collaborate with Product to ensure seamless integration of proposed solutions into existing features.  

Minimum Qualifications:  

• An advanced degree in 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 engineering experience – big data, ETL, data modelling. 

• 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. 

• Proficiency in English, including advanced oral and written communication and presentation skills. 

• 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.  

#LI-MM5

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 000PLN

The 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.