--- title: 'Data Scientist at Onit, Inc.' canonical: 'https://feeny.ai/job/data-scientist-onit-inc-pune-3p88bbdj8j98' type: 'job' last_seen: '2026-10-30' --- # Data Scientist at Onit, Inc. - **Company:** Onit, Inc. - **Location:** Pune, India - **Work type:** hybrid - **Posted:** 2026-10-30 - **Last confirmed live:** 2026-10-30 - **Apply:** https://jobs.lever.co/onit/2be29140-0436-483f-8717-90c93e2c5e1c ## Job 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. ## Key Responsibilities - Benchmarking Methodology: Own the statistical methodology behind customer-facing benchmarking, end to end. - Comparability Modelling: Build and validate a model that determines which organizations are genuinely comparable, using features such as service mix, pricing, scale, and geography. - Defensibility Thresholds: Decide where the line sits between a comparison Onit can defend and one it cannot, and design the product's behaviour on both sides of it. - Data Quality Programme: Profile data quality across multiple source systems and lead a measurable improvement programme against a defined target, partnering with Data Engineering on remediation. - Entity Resolution: Define the approach for resolving duplicate and conflicting records across systems that were never designed to reconcile with one another. - External Data Assessment: Assess whether missing attributes can be responsibly supplemented from external sources, and set the evidential bar for doing so. - Governance & Privacy: Work with Product on methodology and governance for pooled, anonymised cross-customer analytics, including aggregation thresholds. - Communicating Uncertainty: Explain uncertainty clearly to non-statisticians and help the product communicate confidence honestly to end users. Required Skills - 7+ years in applied data science, analytics engineering, or a closely related quantitative role, including ownership of methodology for externally facing analytics. - Strong applied statistics: sampling, variance, confidence intervals, and sound judgement about small samples (e.g., able to explain why a three-item average may or may not be publishable). - Practical, production experience with entity resolution, record linkage, deduplication, or master data management. - Strong SQL, and Python or Ruby for analysis and modelling; hands-on experience working in Databricks (notebooks, Spark/PySpark, Delta tables) or a comparable cloud data platform. - Experience diagnosing and remediating data quality problems at scale, including reasoning about why data is missing before deciding what to do about it. - Rigorous validation habits: defines baselines and success metrics before building, and reports honestly against them. - Ability to communicate uncertainty to non-technical stakeholders without overstating confidence or being unhelpfully vague. - Working proficiency with AI tools (e.g., Claude, GitHub Copilot) to accelerate analysis, code, and documentation, with the statistical judgment to critically validate AI-generated output. ## Preferred Qualifications - Experience building benchmarks, rate comparisons, scoring models, or indices intended for external consumption. - Experience with anonymisation, aggregation thresholds, or privacy-preserving analytics. - Experience working with a cloud data warehouse or lakehouse (Databricks preferred). - Experience in a regulated or commercially sensitive domain, ideally legal. - Experience defining data quality SLAs or acceptance thresholds with business stakeholders. Benefits & Perks That Support You: Onit offers a comprehensive total rewards package designed to support the whole employee at work and beyond: Health Coverage: Employee and immediate family members. Time Away: Flexible paid time off and 10 company paid holidays annually. Family Support: Exceptional paid leave for birth parents, non-birth parents, and caregivers.  Onit also offers surrogacy and adoption reimbursement. Income Protection: 100% employer-paid life and disability insurance. Additional Coverage Options: Voluntary benefits including hospital indemnity, critical illness, accident. Tax-Advantaged Accounts: Flexi, NPS. Community Engagement: One paid volunteer day each year to give back to the community. Our Commitment to Applicants We know that not everyone will check every box in a job description. At Onit, we value diversity, inclusion, and authenticity. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply. You may be exactly who we’re looking for. Onit Values Customer First - Customer success is our success. We deliver value, listen, and act on customer needs. Purposeful Innovation - Innovation fuels our growth. We harness creativity to solve problems and lead with the intentions and expertise. Win as One - Teamwork is how we win. We are accountable, act with integrity, and communicate openly. Intentional Growth - Our people are the difference. We create an environment with compelling work, impactful contributions, and career growth. ## About Onit, Inc. ## Company Overview - **One-liner**: Onit is an AI-native legal operations platform that helps legal and compliance teams manage workflows, contracts, matters, and spend. - **Entity Type**: Private (late‑stage; $216.6M total funding over 11 rounds) - **Headquarters**: Atlanta, Georgia, United States - **Founded**: 2009 (company site) – some sources list 2011 (LinkedIn); conflicting reports exist. - **Founders**: Not publicly disclosed ## Core Business - **Primary Industry**: Legal technology (legal operations software) - **Target Customers**: B2B, primarily legal and compliance departments in enterprise, Fortune 500, and high‑growth companies - **Mission / Purpose**: To give legal teams the freedom, flexibility, and technology to run their departments on their own terms, transforming legal business processes with purpose‑built, AI‑native solutions. ## Products & Services - **Enterprise Legal Management (ELM)**: Full‑lifecycle matter, spend, and vendor management – SaaS platform - **Contract Lifecycle Management (CLM)**: AI‑powered contract creation, review, negotiation, and storage - **Intake & Workfloow Automation**: Configurable service‑request portals and approval chains - **AI Agents & Assistant**: Generative‑AI tools that automate contract redlining, clause policy checks, and answers from corporate policies All products are unified under a single, adaptable framework. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed - **Key Metric**: Annual revenue ~$78.3M (LinkedIn estimate) – note: this is a third‑party estimate, not official. - **Total Funding**: $216.6M (11 rounds; latest round not specified) - **Notable Investors / Partners**: Not disclosed in available sources (investor names not found) - **Growth Signals**: 3,000+ customers worldwide; 389 employees (+13.3% YoY); LinkedIn followers 63,694 (+50.3% YoY); multiple acquisitions; rapid scaling of AI‑native products. ## Competitive Advantages - **AI‑native Architecture**: Built from the ground up to leverage AI, not bolted‑on. - **Domain Expertise**: Created by legal professionals for legal teams – deep understanding of legal workfloows. - **Configurability**: Highly adaptable platform that allows legal departments to shape the software to their processes. - **Scale & Trust**: Trusted by over 3,000 customers including Fortune 500 enterprises – demonstrated retention and market penetration. ## Strategic Focus - **AI‑First Innovation**: Continuing to embed AI agents and generative capabilities across the platform. - **Acquisitions**: Using M&A to broaden product portfolio and accelerate growth. - **Global Expansion**: Growing presence in key regions (New Zealand, Ukaine, Uk, India) while maintaining a remote‑first culture. - **Customer Success**: Deepening relationships and driving value through automation and insights. ## Why Work Here - **Culture Highlights**: Recognized as a *Most Loved Workplace*; values include Customers First, Purposeful Innovation, Win as One, and Intentional Growth. - **Remote / Hybrid**: Remote work is embraced, monitored by performance not micro‑management. Office hubs in Atlanta, Pune, New Zealand, Ukaine, and United Kingdom. - **Benefits**: - 24‑wekks paid leave for all new parents (adoption/surrogacy included) from Day 1 - Company‑wide bonus plans (minimum 6% for all levels) - Quarterly performance reviews focused on growth dialogue - Multiple internal collaboration platforms (AwardCo, The Wave, intranet, townhalls, AMAs) - **Engineering Culture**: Emphasis on modern tech stack (Microsoft‑centric, Python, Ruby on Rails), AI engineering roles visible – Senior AI Engineer, Lead Software Engineer – Python, AI Engineer, Senior Software Engineer – RoR. ## Sources 1. [onit.com/careers](https://www.onit.com/careers/); culture, benefits, and values 2. [onit.com/about](https://www.onit.com/about-onit/); company overview, history, mission, products 3. [linkedin.com/company/onit](https://www.linkedin.com/company/onit/); employee count, revenue estimate, founding year, funding 4. [mostlovedworkplace.com/companies/onit](https://mostlovedworkplace.com/companies/onit/); benefits, remote policy, values, awards 5. [onit.com/leadership](https://www.onit.com/leadership/); leadership mention (Farlekas) ## Other roles at Onit, Inc. - [Software Engineer - RoR (Fullstack)](https://feeny.ai/job/software-engineer-ror-fullstack-onit-inc-pune-z075khhnywz1) — Pune, India - [Software Engineer - Data](https://feeny.ai/job/software-engineer-data-onit-inc-pune-w5wzqj58g9g6) — Pune, India - [Senior Software Engineer - Data](https://feeny.ai/job/senior-software-engineer-data-onit-inc-pune-ghc3nmjpxvrx) — Pune, India - [Data Architect](https://feeny.ai/job/data-architect-onit-inc-pune-nbqe1yqwwagv) — Pune, India - [Support Analyst I](https://feeny.ai/job/support-analyst-i-onit-inc-pune-a4ycvzyt0414) — Pune, India - [Sales Enablement Manager](https://feeny.ai/job/sales-enablement-manager-onit-inc-united-states-fcbc84qsxrzx) — United States - [Senior Data Security Engineer - Purview & AI Governance](https://feeny.ai/job/senior-data-security-engineer-purview-ai-governance-onit-inc-pune-q9mbjgmy9kk0) — Pune, India - [Senior Modern Workplace Engineer](https://feeny.ai/job/senior-modern-workplace-engineer-onit-inc-pune-wxak1fffk4nz) — Pune, India - [Quality Assurance Engineer](https://feeny.ai/job/quality-assurance-engineer-onit-inc-pune-c7trx1bwfa77) — Pune, India - [Cybersecurity Engineering & Operations Director](https://feeny.ai/job/cybersecurity-engineering-operations-director-onit-inc-united-states-7e22yg4qheha) — United States