{"id":73269,"url":"https://alion.io/job/bloomreach-senior-machine-learning-engineer-data-scientist-2","title":"Senior Data Scientist - Personalization & Predictions","company":{"id":620,"name":"Bloomreach","domain":"bloomreach.com","url":"https://alion.io/company/bloomreach","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":82,"open_postings":65,"ghost_share":0.215,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":112,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Slovakia"],"countries":["SK"],"hiring_countries":["CZ","SK"],"hiring_countries_total":2,"salary":{"min":50290,"max":62900,"currency":"EUR","period":"year","gross":null,"usd_annual":70606},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-05-26T11:27:06Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-23T06:39:47Z","board_verified":true,"closed_at":null,"days_open":149,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":149},"description":"Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.\nWe're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.\nWe’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey.\nWe're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.\nAnd we're building all of that on the intelligence of a single AI engine - Loomi - so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.\nYou'd be joining the Artificial Intelligence team. We own the algorithmic core of the platform: Predictions, Contextual Personalization, contextual bandits, autosegmentation, and the agentic workflows behind Loomi. We work with behavioural data at terabyte scale, across 1,400+ customers, in production, every day. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis.\nThe mission\nYou find the signal in how 1,400 brands' customers actually behave - and you prove it moved a business metric. Your models decide which customers are predicted to churn, which segments form themselves, which offer a shopper sees, and whether the discount changed anything or was going to convert anyway.\nWhat you'll actually do\nFrame the problem before modelling it. Most of our highest-impact work arrives as a vague business question, and turning it into something measurable is the first job.\nWork the data at scale. Behavioural data, product catalogues and event streams across BigQuery and Databricks - finding features that carry real predictive signal, not the ones that are easy to compute.\nBuild and evaluate models across Predictions and Contextual Personalization: propensity and churn, contextual bandits, autosegmentation, uplift and incrementality.\nDesign the evaluation, not just the model. Offline metrics, backtests, and the A/B design that decides whether this ships. You own the question \"how would we know if this is worse?\"\nBring methods in from outside and judge them honestly - read the literature, run the quick PoC, and tell a real result from a well-marketed one.\nHand off cleanly to ML Engineering. You own the model and the evidence; they own making it survive production. That handoff is a document and a conversation, not a notebook over a wall.\nExplain your results to people who aren't data scientists - Product, Engineering leadership, and sometimes customers.\nWhat success looks like after 12 months\nTwo models you built are in production and you can name the business metric each one moved.\nA question the team was arguing about is settled, with evidence, and your writeup is what people link to.\nML Engineering describes your handoffs as easy.\nThis role bends in three directions\nWe'd rather shape it around you than the other way round.\nModelling & data science - features, experiments, and whether the number means anything.\nML product engineering - you own an ML-powered feature end to end and the ML part is what makes it interesting.\nPlatform & MLOps - pipelines, serving, deployment, observability, inference cost.\nMost people lean one way and dip into the others. This opening is centered on the first. If you'd rather own the serving path, latency and reliability, our our Senior AI/ML Engineer opening (in Czechia or Slovakia) is the better fit, and applying to both is fine.\nWhat you'll need\n5+ years building ML models that shipped and were used by someone other than you - in industry, not only in research or coursework.\nStrong Python and genuinely strong SQL. You should be comfortable being handed a warehouse and finding your own way around it.\nSolid grounding in classical ML - tree-based models, regression, classification, clustering - and the judgement to know when the simpler model is the right answer.\nReal rigour on experiment design and evaluation. You know why a metric moved, and when it didn't move for the reason everyone assumes.\nComfort on a cloud data platform - we work in GCP (BigQuery) and Databricks, but the principles transfer.\nA quantitative degree, or equivalent practical depth.\nWorking English, written and spoken.\nPlus real depth in at least one of:\nCausal inference and uplift modelling - separating who converts because of an intervention from who would have converted anyway.\nContextual bandits, sequential decision-making, or off-policy evaluation.\nRanking, recommendation or information retrieval.\nLLM evaluation, or applied work with the GenAI stack.\nAlso good: you use agentic coding tools daily and have a view on where they help and where they quietly don't. We build agents for a living, and people who use them tend to have better instincts about them.\nThe pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above.\nBase Salary Range\n€50.290—€62.900 EUR\nMore things you'll like about Bloomreach:\nCulture:\nA great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. \n\nWe have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. \n\nWe believe in flexible working hours to accommodate your working style.\n\nWe work virtual-first with several Bloomreach Hubs available across three continents.\n\nWe organize company events to experience the global spirit of the company and get excited about what's ahead.\n\nWe encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.\n\nThe Bloomreach Glassdoor page elaborates on our stellar 4.7/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5\n\nPersonal Development:\nWe have a People Development Program - participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.\n\nOur resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.*\n\nOur managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.\n\nBloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*\n\nWell-being:\nThe Employee Assistance Program -- with counselors -- is available for non-work-related challenges.*\n\nSubscription to Calm - sleep and meditation app.*\n\nWe organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.\n\nWe facilitate sports, yoga, and meditation opportunities for each other.\n\nExtended parental leave up to 26 calendar weeks for Primary Caregivers.*\n\nCompensation:\nRestricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*\n\nEveryone gets to participate in the company's success through the company performance bonus.*\n\nWe offer an employee referral bonus of up to $3,000!\n\nWe reward & celebrate work anniversaries -- Bloomversaries!*\n\n(*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.)\nExcited? Join us and transform the future of commerce experiences!\nIf this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.","description_format":"text","description_chars":9081,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Company events","Equity","Flexible schedule","Parental leave","Restricted stock units","Stock options"],"hiring_locations":[{"name":"Czech Republic","iso":"CZ","kind":"country"},{"name":"Slovakia","iso":"SK","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Marketing Automation","Recommendation Systems","Customer Data Platforms (CDP) & Reverse ETL"],"lifecycle":[{"event":"open","at":"2026-05-26T11:27:06Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.694,"p_room":0.44,"age_days":149,"expected_fill_days":112,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":70606,"is_top_pay":false},"html_url":"https://alion.io/job/bloomreach-senior-machine-learning-engineer-data-scientist-2","json_url":"https://alion.io/job/bloomreach-senior-machine-learning-engineer-data-scientist-2.json","meta":{"generated_at":"2026-10-23T08:12:18Z","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":13087,"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":620},"rest":"https://alion.io/mcp/rest/get_company?id=620"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbloomreach-senior-machine-learning-engineer-data-scientist-2"},{"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%2Fbloomreach-senior-machine-learning-engineer-data-scientist-2"},{"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%2Fbloomreach-senior-machine-learning-engineer-data-scientist-2"},{"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/bloomreach-senior-machine-learning-engineer-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbloomreach-senior-machine-learning-engineer-data-scientist-2"}]}