{"id":3374862,"url":"https://alion.io/job/planet-data-scientist-4","title":"Data Scientist","company":{"id":711629,"name":"Planet","domain":"weareplanet.com","url":"https://alion.io/company/weareplanet","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":10,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Galway, Ireland","Warsaw, Poland"],"countries":["IE","PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":143000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Dagster","optional":true},{"name":"n8n","optional":true},{"name":"Prefect","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T04:47:26Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Planet\nPlanet is a global provider of integrated technology and payments solutions for retail and hospitality customers.\nWe create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.\nPlanet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.\nFounded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.\nRole overview:\nWe're hiring a Data Scientist to join Planet's AI team and lead our commercial data science work. You'll partner with Sales, Marketing, Customer Success, and Finance to turn customer and revenue data into models and insights that directly move the top line - reducing churn, surfacing cross-sell opportunities, and giving the business a clear view of what's driving revenue.\nThis is a hands-on, high-impact role for someone who enjoys working close to the business, owns problems end-to-end, and can balance rigorous modelling with pragmatic delivery.\nWhat you will do\nChurn modelling - Build, deploy, and iterate on customer churn prediction models. Identify leading indicators, segment at-risk cohorts, and work with Customer Success on retention playbooks.\nCross-sell & upsell - Develop propensity models and next-best-action recommendations to help commercial teams prioritise accounts and product conversations.\nRevenue attribution & tracking - Design attribution frameworks across marketing channels, sales motions, and product touchpoints. Build the data products that let leadership see what's actually driving revenue.\nExperimentation - Design and analyse A/B tests and quasi-experiments for commercial initiatives. Bring statistical rigour to business decisions.\nProductionisation - Take models from notebook to production. Own the full lifecycle: feature engineering, training, deployment, monitoring, retraining.\nStakeholder partnership - Translate ambiguous commercial questions into well-scoped analytical problems. Communicate findings clearly to non-technical audiences.\nWho you are\n5+ years in applied data science, with significant experience on commercial problems (churn, LTV, propensity, attribution, pricing, or similar).\nStrong SQL and Python (pandas, scikit-learn, statsmodels). Comfortable building production-grade code, not just notebooks.\nHands-on experience with Snowflake (or a comparable cloud data warehouse - BigQuery, Redshift, Databricks).\nExperience deploying models on AWS (SageMaker, Lambda, ECS, or similar).\nSolid grounding in statistics, experimentation, and causal inference - you know when a correlation isn't enough.\nTrack record of shipping models that are actually used by the business, not just built.\nExcellent communication - you can explain a model to a CFO and debug a feature pipeline with an engineer in the same afternoon.\nNice-to-have\nExperience with n8n or other workflow automation tools (Airflow, Prefect, Dagster).\nExposure to payments, fintech, SaaS, or other recurring-revenue businesses.\nDBT experience for analytics engineering.\nExperience integrating LLMs or GenAI into commercial workflows.\nWhy Planet:\nPlanet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.\nCome and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce.\nWe would love to hear from you - Apply now.\nAt Planet, we embrace a hybrid work model, with three days a week in the office.\nReasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.","description_format":"text","description_chars":3845,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Ireland","iso":"IE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways","Travel Technology","Currency Exchange & FX Payments"],"lifecycle":[{"event":"open","at":"2026-10-28T02:23:45Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":41,"reasons":["conf:1","stale_co","velocity","win:early"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/planet-data-scientist-4","json_url":"https://alion.io/job/planet-data-scientist-4.json","meta":{"generated_at":"2026-10-31T13:06:24Z","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":20370,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":711629},"rest":"https://alion.io/mcp/rest/get_company?id=711629"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fplanet-data-scientist-4"},{"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%2Fplanet-data-scientist-4"},{"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%2Fplanet-data-scientist-4"},{"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/planet-data-scientist-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fplanet-data-scientist-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3374862}},{"tool":"search_jobs","arguments":{"company":"weareplanet.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3374862},"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); 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