- Location
- Pune, Maharashtra
- Workplace
- Hybrid
- Department
- R&D
- Source
- Lever
Description
About Onit
We're redefining the future of legal operations through the power of AI. Our cutting-edge platform streamlines enterprise legal management, matter management, spend management and contract lifecycle processes, transforming manual workflows into intelligent, automated solutions.
We’re a team of innovators using AI at the core to help legal departments become faster, smarter, and more strategic. As we continue to grow and expand the capabilities of our new AI-centric platform, we’re looking for bold thinkers and builders who are excited to shape the next chapter of legal tech.
If you're energized by meaningful work, love solving complex problems, and want to help modernize how legal teams operate, we’d love to meet you.
Position Summary
The Data Scientist owns the statistical methodology behind a new customer-facing benchmarking capability in Onit's AI-driven legal operations platform. Drawing on data from multiple source systems across enterprise legal management, matter management, and spend management, this role determines which organizations are genuinely comparable, decides where the line sits between a defensible comparison and one that is not, and ensures the product communicates confidence honestly to end users. Working closely with Product, Engineering, and the Data Architect on a Databricks-based platform, the Data Scientist sets the evidential standards, data quality targets, and governance for pooled, anonymised cross-customer analytics.
Skills
PythonRubySQLSparkDatabricksData ScienceData EngineeringGitHub