{"id":3291691,"url":"https://alion.io/job/termgrid-data-scientist","title":"Data Scientist","company":{"id":4478588,"name":"Termgrid","domain":"termgrid.ai","url":"https://alion.io/company/termgrid","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Embeddings","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-15T18:17:22Z","employer_posted_date":null,"last_verified_at":"2026-09-15T18:17:22Z","board_verified":false,"closed_at":null,"days_open":49,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":49},"description":"Termgrid is rewriting the rules of private capital markets. We built the category-defining operating system for deal professionals — the platform where the world's most sophisticated private equity sponsors, lenders, and advisors manage every stage of their financing workflows.\nFounded in 2019 by Dipish Rai (Harvard MBA, IIT, Columbia; ex-Providence Equity) and Vishal Singh (Columbia MS CS; ex-CTO Link3D, acquired by Nasdaq: MTLS), Termgrid has achieved what few fintech companies dream of: 4 of the top 5 global private equity firms trust us as their core technology partner. 1600+ institutions. 30,000+ professionals.The RoleWe are adding intelligent recommendations to the platform: quietly surfacing the most relevant connections, counterparties, and opportunities to users at the right moment, drawn from social signals (who is connected to whom, network activity) and transaction signals (who transacts with whom). The bar is subtle and genuinely useful discovery, not a salesy push.\n\nYou will be the first data scientist building this, from the ground up, on data most companies would love to have. It is a build-and-own role for someone who ships.\n\nResponsibilities\n\nBuild and own the first recommendation features, surfacing relevant connections, counterparties, and opportunities inside the product.\n\nApply classical recommendation techniques well: collaborative filtering, clustering, nearest neighbors, and standard ML models, on social and transaction data.\n\nStart simple, then layer in embeddings, similarity search, and ranking where they earn their place.\n\nHandle sparse data and cold-start for new users and entities.\n\nKeep recommendations subtle, relevant, and trustworthy: helpful discovery in a finance product, not a sales pitch. This is a product and UX judgment call as much as a modeling one.\n\nOwn evaluation: offline metrics plus online experiments tied to real engagement and adoption, not vanity numbers.\n\nPartner with backend engineering on serving, and set light, useful ML practices as the first data scientist in this area.\n\nRequirements\n\nSolid, hands-on experience building recommendation or personalization systems in production.\n\nStrong grasp of classical recommendation methods: collaborative filtering, clustering, nearest neighbors, and standard ML models.\n\nRecommendation foundations: embeddings and similarity or vector search, ranking, feature engineering, and rigorous evaluation.\n\nStrong Python (pandas, numpy, scikit-learn) and strong SQL.\n\nExperimentation literacy: you design and read A/B tests and know the difference between offline and online lift.\n\nProduct and business judgment, plus pragmatism: you can make recommendations feel subtle and relevant rather than salesy, you start simple, ship, and improve.\n\nNice to have: capital markets, private credit, or fintech domain exposure; graph or network methods (graph embeddings, GNNs, link prediction) as a bonus for future sophistication; early or founding data scientist experience.\n\nOriginally posted on Himalayas","description_format":"text","description_chars":3018,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-26T19:52:56Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.407,"p_room":0.35,"age_days":48,"expected_fill_days":16,"reasons":["seen:48","win:tail"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/termgrid-data-scientist","json_url":"https://alion.io/job/termgrid-data-scientist.json","meta":{"generated_at":"2026-11-04T00:52:50Z","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":1261,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":4478588},"rest":"https://alion.io/mcp/rest/get_company?id=4478588"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftermgrid-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%2Ftermgrid-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%2Ftermgrid-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/termgrid-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftermgrid-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3291691}},{"tool":"search_jobs","arguments":{"company":"termgrid.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3291691},"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); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}