{"id":38857,"url":"https://alion.io/job/nift-applied-data-scientist","title":"Applied Data Scientist","company":{"id":1038938,"name":"Gonift","domain":"gonift.com","url":"https://alion.io/company/gonift","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":54,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Israel"],"countries":["IL"],"hiring_countries":["US","IL"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":203000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-04T02:20:34Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-26T10:09:37Z","board_verified":true,"closed_at":null,"days_open":83,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":83},"description":"Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We're hiring a hands-on Senior Applied Data Scientist to help build and scale production-grade recommendation systems that drive our core marketplace outcomes.\nThis is not a research-only role. We're looking for someone who can take models from idea to production - running experiments, measuring business impact, and continuously improving the systems behind how Nift matches people with the right brands. You'll own the full lifecycle: exploratory analysis, data prep, modeling, testing, deployment, and post-launch measurement.\nThe ideal candidate has worked in a real production environment, brings strong deep learning experience, and understands recommendation systems in practice - not just in theory. Success here means shipping models that move Nift's core KPIs, connecting technical work to measurable business impact, and helping the team scale with strong engineering discipline.\nThis role is ideally based in Israel, but strong candidates in the U.S. will also be considered.\nWhat You'll Do\nOwn the full funnel of applied machine learning work, from idea through production\nBuild, improve, and deploy recommendation models that support Nift's core business goals\nTackle deep learning problems in a production setting - not just offline experimentation\nConduct exploratory data analysis, preprocessing, feature development, and modeling\nRun experiments and evaluate success against business KPIs, not just model metrics\nPartner with engineering and infrastructure teammates to productionize models and scale systems\nImprove recommendation quality, personalization, and the business performance tied to those systems\nWhat You'll Have\n5+ years of experience in production data science environments\nStrong hands-on experience taking machine learning models into production\nStrong deep learning experience; proficiency with PyTorch or TensorFlow is expected\nDirect experience with recommendation systems, or adjacent experience in areas like bidding or dynamic pricing\nStrong Python and SQL skills\nExperience working with data at meaningful scale - high-scale environments are a strong plus\nThe ability to measure model success through business outcomes such as revenue, conversion, churn, or similar KPIs\nBonus points for:\nA Master's degree, especially paired with strong production experience\nA PhD paired with meaningful production-grade work (purely academic backgrounds aren't the target profile for this role)\nA software engineering background - particularly for candidates who've built pipelines and production systems before moving into machine learning\nAbout Us\nOur mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful \"thank-you\" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded.\nWe are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now we're scaling to become one of the largest sources of new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we're poised for exponential growth and ready to demonstrate impact on a global scale.","description_format":"text","description_chars":3321,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Israel","iso":"IL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Gift Cards & Loyalty Programs"],"lifecycle":[{"event":"open","at":"2026-08-04T02:20:34Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.819,"p_room":0.36,"age_days":83,"expected_fill_days":54,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/nift-applied-data-scientist","json_url":"https://alion.io/job/nift-applied-data-scientist.json","meta":{"generated_at":"2026-10-26T12:31:47Z","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":17215,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":1038938},"rest":"https://alion.io/mcp/rest/get_company?id=1038938"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnift-applied-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%2Fnift-applied-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%2Fnift-applied-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/nift-applied-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnift-applied-data-scientist"}]}