{"id":2971254,"url":"https://alion.io/job/blue-tile-principal-applied-scientist","title":"Principal Applied Scientist","company":{"id":4417254,"name":"Bluetile Games S.L.","domain":"bluetile.com","url":"https://alion.io/company/bluetile","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":156000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1199},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"JAX","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-02-12T08:47:04Z","employer_posted_date":"2026-02-12","last_verified_at":"2026-10-23T20:54:42Z","board_verified":true,"closed_at":null,"days_open":253,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":252},"description":"About the Company\nBluetile is a vibrant fast-growing gaming studio with an eye on the future. Our mission is to build fun and relaxing games meant to last, and we do that by bringing together a team of experts who love what they do. Our talented designers, artists, engineers, marketeers and analysts have created several games delivering joy and entertainment to over 20M users across more than 12 languages and 90 countries.\nAbout the Role\nAs a Principal Applied Scientist, you'll bridge rigorous science with production impact. This is not a pure engineering role, we need someone who thinks like a scientist first: formulating hypotheses, designing experiments with statistical rigor, and building models grounded in solid mathematical foundations. You'll then work with Engineering to productionize these solutions at scale.\nYou'll own end-to-end problems in user behavior modeling, ad monetization optimization, and real-time decisioning systems. This means deep work on causal inference, probabilistic modeling, experimentation design, and optimization, not just applying off-the-shelf ML libraries. You'll need to understand the 'why' behind the models, not just the 'how.'\nWe're looking for someone who holds an advanced degree in a quantitative field, and has battle-tested their science in production environments. You should be equally comfortable working through the math behind a model as you are debugging production pipelines.\nKey Responsibilities\nScientific Leadership & Problem Framing (50%)\nFrame ambiguous business problems as well-defined scientific questions with testable hypotheses.\nDesign and analyze controlled experiments (A/B tests, multi-armed bandits) with proper statistical rigor.\nBuild probabilistic models for user behavior, lifetime value prediction, and ad response.\nApply causal inference techniques to untangle correlation from causation in observational data.\nStay current with research literature and bring cutting-edge methods to production (when appropriate).\nProduction ML Systems (20%)\nPartner with Engineering to build real-time decisioning APIs for game configuration and ad serving.\nImplement proper monitoring, evaluation frameworks, and fallback mechanisms.\nShip models as stable services with clear performance guarantees.\nExperimentation & Measurement (20%)\nDefine success metrics and design experiments that provide unambiguous answers.\nBuild experimentation infrastructure and champion rigorous hypothesis testing across the org.\nQuantify uncertainty and communicate statistical trade-offs to non-technical stakeholders.\nTranslate experimental results into business decisions with estimated impact.\nStrategic Collaboration & Mentorship (10%)\nWork with Product, Marketing, and Ad Monetization to prioritize high-impact projects.\nMentor other data scientists on scientific rigor.\nEstablish standards for model evaluation, code quality, and documentation.\nCommunicate complex technical concepts clearly to diverse audiences.\nRequirements\nPhD or MSc in Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, or closely related quantitative field.\n 7+ years in data science with 2+ years owning production ML systems.\nExpert-level Python and SQL; comfortable writing production-quality code.\nDeep understanding of probability theory, statistical inference, and mathematical optimization.\nStrong grasp of experimentation design and statistical hypothesis testing (power analysis, multiple testing corrections, variance reduction techniques).\nDemonstrated ability to read, critique, and apply research papers to real-world problems.\nNice to have\nExperience with modern ML frameworks (TensorFlow, PyTorch, JAX, or similar) for deep learning and/or probabilistic programming (e.g., PyMC, Stan, TensorFlow Probability).\nBuilt and deployed end-to-end ML systems that handle millions of requests/predictions.\nProficiency with cloud platforms (GCP, AWS, Azure) for data processing and model serving.\nPublished research in top-tier venues (NeurIPS, ICML, KDD, JMLR, etc.) or industry conferences.\nRelevant Domain Experience (1-2 of the following strongly preferred): Gaming/mobile apps: LTV prediction, retention modeling, monetization optimization\nAd tech: Bidding strategies, auction mechanisms, ad serving optimization\nMarketplace/platforms: Two-sided market dynamics, pricing, recommendations.\nSubscription/SaaS: Churn prediction, upsell optimization, cohort analysis\n\nWhat we offer\nThe Role: Own data science solutions from scratch with full autonomy. Join a meetingless company, no status updates, no sync calls, just deep work and results.\n Location & Flexibility: Based in Barcelona (office with terrace, BBQ, beer tap). Flexibility policy: the data team comes in regularly because they want to, not because they have to.\nCompensation & Perks: Competitive compensation based on experience, phantom stocks, relocation package, health insurance, ticket restaurant, unlimited vacations, regular company off-sites.\n The Challenge: 15 games in market + ambitious pipeline. Industry inflection point with AI and automation. Profit-backed studio with no VC pressure and resources to do it right.","description_format":"text","description_chars":5161,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Gaming","Mobile Games"],"lifecycle":[{"event":"open","at":"2026-10-21T02:34:36Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.233,"p_room":0.28,"age_days":252,"expected_fill_days":27,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/blue-tile-principal-applied-scientist","json_url":"https://alion.io/job/blue-tile-principal-applied-scientist.json","meta":{"generated_at":"2026-10-23T23:42:50Z","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":7249,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":4417254},"rest":"https://alion.io/mcp/rest/get_company?id=4417254"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fblue-tile-principal-applied-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%2Fblue-tile-principal-applied-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%2Fblue-tile-principal-applied-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/blue-tile-principal-applied-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fblue-tile-principal-applied-scientist"}]}