{"id":4017949,"url":"https://alion.io/job/vinted-staff-data-scientist-trust-safety","title":"Staff Data Scientist, Trust & Safety","company":{"id":56356,"name":"Vinted","domain":"vinted.com","url":"https://alion.io/company/vinted-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":31,"ghost_share":0,"stale_share":0.677,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kaunas, Lithuania"],"countries":["LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"dbt","optional":false},{"name":"Feature Store","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T10:45:07Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-12T12:33:14Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Brief info about Vinted \nOur mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life - or even a third.\nThe Vinted Group is made up of three business units that support this mission:\nVinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.\nVinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.\nVinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.\nFounded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. \nInformation about the position \nYou'll join Vinted's Trust & Safety domain, whose mission is to protect the Vinted community from harmful activities and content. Across several detection, moderation and sanctioning teams, we run a growing set of machine learning models, rule engines, and LLM agents. They score every new listing, account and message at Vinted's scale, and many of them act on members automatically.\nWe're looking for a Staff Data Scientist to shape the architecture and effectiveness of our detection systems as a whole. You'll tackle problems that individual teams cannot solve independently: how to maximize detection coverage, combine different models into coherent risk decisions, and allocate computational resources where they reduce the most harm. \nThis is a senior individual contributor role with scope across Trust & Safety and Security domains. You'll set technical direction, challenge existing approaches, prototype solutions and work with teams to bring them into production.\nIt's an opportunity to shape how a large-scale, increasingly AI-driven safety system is built, evaluated and improved.\nIn this position, you’ll \nDesign the end-to-end ML architecture for detection, risk scoring, routing and decision-making.\nDevelop cost-efficient, layered inference strategies that combine broad, low-latency screening with deeper, more expensive analysis where it adds the most value.\nEstablish approaches to continuous risk assessment across the member lifecycle, from registration and listing creation to ongoing activity.\nDefine how we measure end-to-end detection effectiveness, including precision, coverage, missed harm and computational cost. Use these measurements to identify the highest-impact improvements.\nTurn siloed, team-level models into a coherent, calibrated detection system by addressing the technical and organisational barriers that lead to local optimisation.\nIdentify and close detection coverage gaps, ensuring that relevant signals and outcomes are available for evaluation, diagnosis and continuous improvement.\nSet shared technical standards and architectural direction across teams, working with engineering and data science leaders to translate them into production systems.\nPrototype critical components, test architectural assumptions empirically and build reference implementations that teams can scale.\nExplain complex ML trade-offs to senior technical and business leaders as clear choices about harm reduction, cost, and engineering investment.\nAbout you \nHave 8+ years of experience in Data Science, Machine Learning, or a similar role, including significant time owning production models or model evaluation at scale.\nHave led cross-team technical work without formal authority, and you're comfortable setting standards that other teams adopt.\nHave deep expertise in statistical inference and experimentation: A/B testing, measuring precision and recall under imperfect or biased labels, sampling for ground truth, and causal reasoning.\nUnderstand the ML lifecycle in production: evaluation, threshold setting, retraining, drift, feature stores and monitoring.\nHave hands-on experience evaluating LLM-based systems, or a strong interest in building rigorous methods for them.\nAre highly proficient in SQL and Python and comfortable working in a modern data stack (e.g. BigQuery, dbt).\nCan turn messy, cross-system problems into a clear plan, and can explain trade-offs to both technical and non-technical audiences, including senior leadership.\nAre fluent in English, both written and spoken.\nNice to have: experience in Trust & Safety, fraud prevention, content moderation, or risk management.\nWork perks \nThe opportunity to benefit from our share options programme\n25 working days of holiday\nAccess to all the tools & tech needed for work\nHome office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture\nPrivate health insurance\nPension plan with flexible contribution options and a matching contribution from Vinted\nConfidential Employee Assistance Program (EAP) for you and your family\nFrequent team-building events\nA personal monthly budget for shopping on Vinted\nA dog-friendly office\nIn Vilnius office: Gym & in-house meals at friendly prices\nIn Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast\nWorking at Vinted \nWorkation policy\nBetter balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.\nIndividual learning budget\nEach year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.\nHybrid work \nOur hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.\nEqual opportunity\nWe welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway - you might still be the perfect match!\nThe gross monthly salary range for this position is:\n€7.708—€10.425 EUR","description_format":"text","description_chars":6864,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Health insurance","Home office","Hybrid work","Professional development","Stock options"],"hiring_locations":[{"name":"Lithuania","iso":"LT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Apparel & Fashion Brands"],"lifecycle":[{"event":"open","at":"2026-11-10T13:47:06Z"}],"visa":[],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":1,"expected_fill_days":38,"reasons":["conf:3","stale_co","wave","velocity","win:early","comp:brand"],"computed_at":"2026-11-12T10:38:37Z"},"pay":null,"html_url":"https://alion.io/job/vinted-staff-data-scientist-trust-safety","json_url":"https://alion.io/job/vinted-staff-data-scientist-trust-safety.json","meta":{"generated_at":"2026-11-12T17:35:38Z","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":36978,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":56356},"rest":"https://alion.io/mcp/rest/get_company?id=56356"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvinted-staff-data-scientist-trust-safety"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fvinted-staff-data-scientist-trust-safety"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fvinted-staff-data-scientist-trust-safety"},{"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/vinted-staff-data-scientist-trust-safety\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvinted-staff-data-scientist-trust-safety"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4017949}},{"tool":"search_jobs","arguments":{"company":"vinted.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4017949},"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. 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