{"id":778306,"url":"https://alion.io/job/nelo-data-scientist-machine-learning","title":"Data Scientist (Machine Learning)","company":{"id":62836,"name":"Nelo","domain":"nelo.mx","url":"https://alion.io/company/nelo","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Jupyter Notebook","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-01-26T15:47:03Z","employer_posted_date":"2026-01-26","last_verified_at":"2026-10-20T22:03:25Z","board_verified":false,"closed_at":"2026-10-20T22:03:25Z","days_open":267,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":266},"description":"About Nelo\nNelo is a leading fintech in Mexico reimagining credit to expand consumer buying power. Founded in 2019 by former Uber international growth team leads Kyle Miller and Stephen Hebson, Nelo offers credit cards, BNPL loans, bill payments, and its own marketplace - all under one app - designed from first principles for a mobile-first, real-time payments world.\nWith $100M in annual revenue, $1B in annualized GMV, and $140M+ raised in equity and debt, Nelo is one of the most capital-efficient consumer fintech companies in Latin America. The company is profitable - positive operating profit in both 2024 and 2025. It runs lean and technical: 60 employees, 8 engineers, with AI driving underwriting, collections, and operations.\nHQ: Mexico City, Mexico; commercial and people operations in New York City\n\nFounded: 2019\n\nTeam size: 60 FTEs\n\nOpen roles: 10+\n\nWebsite: nelo.mx\n\nStage: Post-Series A; $100M credit facility (Victory Park Capital, 2022); profitable\n\nBenefits: 401k, open PTO, medical, dental, vision, STD, LTD, fertility\n\nCompany values:\nBe your best selves: ambition, hard work, intellectual curiosity\n\nEveryone is an owner: all employees receive equity including customer support; 10-year option expiration; equity refreshers\n\nCustomer first: product decisions grounded in customer benefit\n\nOpen and honest communication: quarterly financials and board presentations shared company-wide; low tolerance for bureaucracy or gossip\n\nMove fast, learn fast: hundreds of experiments run monthly; rigorous experimentation culture\n\nWhy this Role is Different\nMost Data Science roles currently on the market are focused on optimizing ad clicks or slightly improving recommendation engines.\nThis isn't that.\nAt Nelo, your models are the product. You are building the decision engine that determines who gets access to credit in an emerging market. This involves high-stakes constrained optimization problems where \"good enough\" mathematics will result in direct financial loss.\nWe are looking for the type of person who is frustrated by the \"black box\" approach of modern libraries and actually understands the statistical theory and causality behind the code. If you want to apply academic-level rigor to a P&L that is scaling rapidly, this is your seat.\nWhat You'll Do:\nSolve the \"Why,\" not just the \"What\": You will design and deploy causal inference models to drive our underwriting and portfolio management strategies. Correlation isn't enough when you're managing risk.\n\nBuild the Core Engine: You will create and refine the algorithms for credit pricing, personalization, and ranking. Your code will directly impact the wallet of the consumer and the margin of the company.\n\nOwn the Infrastructure: You won't just hand off a Jupyter notebook to an engineer. You will lead ML infrastructure projects, ensuring observability and operational excellence for the models you build.\n\nWho You Are:\nYou have deep theoretical roots. We are explicitly looking for candidates with a strong academic background (PhD preferred) who understand the first principles of classification, forecasting, and optimization.\n\nYou are a builder, not just a researcher. While you love the theory, you have at least 5 years of experience applying it in a production environment. You write production-grade Python and SQL.\n\nYou value velocity. You understand that a perfect model shipped next year is worth less than a great model shipped next week. You can balance intellectual rigor with the need to execute.\n\nYou are happy in NYC. This is an in-office role. We believe the hardest problems are solved when smart people are in the same room with a whiteboard.\n\nWhat's on the Table\nSignificant Equity (You’re building the company, you should own it).\n\n100% medical, dental & vision insurance coverage for you (50% for dependents).\n\nUnlimited PTO (that we actually expect you to take).\n\n401(k).\n\nExtended maternity and paternity leave.\n\nRelocation support and Sabbatical program.\n\nAbout the Process\nWe know you're busy, so we don't do 8-stage interviews.\nQuick chat with the Hiring Manager to align on expectations.\n\nA business case/technical assessment (relevant to the actual job).\n\nOnsite interview in NYC to meet the team.\n\nOffer.\n\nThis isn’t a job for someone who wants to hide in the back office; it’s for someone who wants their math to move the market.","description_format":"text","description_chars":4350,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Insurance coverage","Unlimited PTO","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Buy Now, Pay Later"],"lifecycle":[{"event":"open","at":"2026-09-11T23:44:18Z"},{"event":"close","at":"2026-10-20T22:03:25Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":4,"green_card_filings_12m":0,"median_offered_wage_usd":192500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":null,"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/nelo-data-scientist-machine-learning","json_url":"https://alion.io/job/nelo-data-scientist-machine-learning.json","meta":{"generated_at":"2026-10-22T06:34:16Z","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":1584,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":62836},"rest":"https://alion.io/mcp/rest/get_company?id=62836"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnelo-data-scientist-machine-learning"},{"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%2Fnelo-data-scientist-machine-learning"},{"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%2Fnelo-data-scientist-machine-learning"},{"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/nelo-data-scientist-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnelo-data-scientist-machine-learning"}]}