{"id":3520832,"url":"https://alion.io/job/onit-data-scientist","title":"Data Scientist","company":{"id":58716,"name":"Onit","domain":"onit.com","url":"https://alion.io/company/onit","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Master Data Management","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T07:29:26Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-06T22:57:34Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Position Summary\nThe 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.\nKey Responsibilities\nBenchmarking Methodology: Own the statistical methodology behind customer-facing benchmarking, end to end.\nComparability Modelling: Build and validate a model that determines which organizations are genuinely comparable, using features such as service mix, pricing, scale, and geography.\nDefensibility 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.\nData 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.\nEntity Resolution: Define the approach for resolving duplicate and conflicting records across systems that were never designed to reconcile with one another.\nExternal Data Assessment: Assess whether missing attributes can be responsibly supplemented from external sources, and set the evidential bar for doing so.\nGovernance & Privacy: Work with Product on methodology and governance for pooled, anonymised cross-customer analytics, including aggregation thresholds.\nCommunicating Uncertainty: Explain uncertainty clearly to non-statisticians and help the product communicate confidence honestly to end users.\nRequired Skills\n7+ years in applied data science, analytics engineering, or a closely related quantitative role, including ownership of methodology for externally facing analytics.\nStrong 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).\nPractical, production experience with entity resolution, record linkage, deduplication, or master data management.\nStrong 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.\nExperience diagnosing and remediating data quality problems at scale, including reasoning about why data is missing before deciding what to do about it.\nRigorous validation habits: defines baselines and success metrics before building, and reports honestly against them.\nAbility to communicate uncertainty to non-technical stakeholders without overstating confidence or being unhelpfully vague.\nWorking 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.\nPreferred Qualifications\nExperience building benchmarks, rate comparisons, scoring models, or indices intended for external consumption.\nExperience with anonymisation, aggregation thresholds, or privacy-preserving analytics.\nExperience working with a cloud data warehouse or lakehouse (Databricks preferred).\nExperience in a regulated or commercially sensitive domain, ideally legal.\nExperience defining data quality SLAs or acceptance thresholds with business stakeholders.","description_format":"text","description_chars":3744,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Document Management","Digital Signature"],"lifecycle":[{"event":"open","at":"2026-10-30T11:59:25Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":32,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/onit-data-scientist","json_url":"https://alion.io/job/onit-data-scientist.json","meta":{"generated_at":"2026-11-06T23:00:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1844,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58716},"rest":"https://alion.io/mcp/rest/get_company?id=58716"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fonit-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fonit-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fonit-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/onit-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fonit-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3520832}},{"tool":"search_jobs","arguments":{"company":"onit.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3520832},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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