{"id":2954544,"url":"https://alion.io/job/topsort-data-science","title":"Data Scientist","company":{"id":686130,"name":"Topsort","domain":"topsort.com","url":"https://alion.io/company/topsort","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santiago, Chile"],"countries":["CL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"FAISS","optional":true},{"name":"LLM","optional":true},{"name":"Model Distillation","optional":true}],"status":"live","first_seen_at":"2026-10-20T19:50:30Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T01:49:27Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We're quickly growing and super excited for you to join us!\nAbout Topsort\nTopsort is a global Commerce AI company making advanced advertising and AI-powered technology accessible to businesses of all sizes.\nOur technology helps retailers and marketplaces grow through smarter advertising, real-time auctions, and intelligent product discovery. With a presence in 40+ countries and a growing international team, we're building the technology behind the next generation of commerce.\nWhat Is This Role Like?\nWe're hiring a Data Scientist to help improve how Topsort ranks and retrieves products for search and ads, predicts user behavior, and supports advertiser planning through reliable predictive models.\nYou'll work closely with Product and Engineering to turn complex data into actionable models and insights that drive better decisions and continuously improve our platform.\nWhat You'll Own\nForecasting Models: Develop and refine models for budget planning and advertiser spend, using time-series methods, regression, and machine learning.\nRetrieval: Build and improve the models that select which products are candidates to be shown for each search or placement.\nRanking: Develop and iterate on rankers and re-rankers that combine relevance, CTR/CVR predictions and business constraints for organic and sponsored placements.\n Query & Product Understanding: Improve how we represent queries and products, including multilingual catalogs, sparse or noisy metadata, and new products with no interaction history (cold start).\nData Analysis: Explore large datasets to identify trends, assess data quality, and uncover opportunities to improve predictions.\nProduction Delivery: Ship models into our ad engine and serving stack, and build the training and evaluation pipelines on large-scale event data.\nCross-Functional Delivery: Partner with Product and Engineering to integrate models into platform workflows and translate findings into actionable recommendations.\nWhat Success Looks Like\nReliable Predictions: Models demonstrate consistent performance against defined baselines, offline and in live experiments, with uncertainty and limitations clearly understood.\nBetter Relevance: Ranking and retrieval improvements produce measurable lift for shoppers and advertisers.\nBetter Planning: Budget and advertiser spend forecasts provide useful inputs for planning and decision-making.\nPractical Adoption: Product and Engineering teams can use model outputs effectively in the platform and relevant workflows.\nContinuous Improvement: Model errors, experiment results and changing data patterns lead to clear, evidence-based improvements.\nWhat You'll Bring\nDon't check every box? We'd still love to hear from you. We value curiosity, strong judgment, and people who take ownership of results:\nRelevant Experience: 5+ years of experience in data science, with a strong focus on forecasting.\nAcademic Background: A Ph.D. in Data Science, Statistics, Mathematics, or a related quantitative field.\nRanking & Retrieval: Direct experience building search, recommendation or ads ranking systems in production.\nDeep Learning: Hands-on experience with PyTorch or similar, including training embedding-based retrieval or ranking models.\nPython & SQL: Strong Python and SQL; comfortable building datasets from raw event logs at scale.\nExperimentation: Solid statistics fundamentals and experience designing and reading A/B tests.\nShipping Mindset: Comfort with AI-assisted development tools and a bias toward getting models into production.\nNice To Have:\nRetail media / AdTech experience, auction or bidding systems.\nLLM-based retrieval, model distillation, approximate nearest neighbor search (HNSW, FAISS).\nLearning-to-rank at scale, or multi-objective ranking.\nWho Thrives Here\nWe set a high bar for engineering because the systems we build matter. You'll thrive here if you:\nOwnership & Quality: You take responsibility for what you build, write production-ready code, and leave systems better than you found them.\nEngineering Judgment: You make thoughtful technical decisions, communicate tradeoffs honestly, and balance speed with long-term reliability.\nCollaboration & Communication: You share knowledge, communicate openly, and work effectively across teams to solve complex challenges.\n Curiosity & Attention to Detail: You care about the details, continuously improve your skills, and explore new technologies with a critical mindset.\nWe are proud to be an equal opportunity employer and to foster a workplace where diversity is valued and celebrated. We believe that diverse perspectives and experiences strengthen our teams and drive better outcomes. We respect and value any race, religion, color, national origin, ancestry, caste, gender, gender identity or expression, sexual orientation, age, disability, medical condition, pregnancy, genetic information, marital status, or military service.\nDo you sound like the right fit? Let's dive right in!","description_format":"text","description_chars":4948,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing & Sales AI","Retail & Commerce AI"],"lifecycle":[{"event":"open","at":"2026-10-20T21:06:18Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":36,"reasons":["conf:2","win:early"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/topsort-data-science","json_url":"https://alion.io/job/topsort-data-science.json","meta":{"generated_at":"2026-10-24T05:40:41Z","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":8078,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":686130},"rest":"https://alion.io/mcp/rest/get_company?id=686130"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftopsort-data-science"},{"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%2Ftopsort-data-science"},{"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%2Ftopsort-data-science"},{"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/topsort-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftopsort-data-science"}]}