{"id":2579889,"url":"https://alion.io/job/six-marketing-data-scientist","title":"Marketing Data Scientist","company":{"id":47665,"name":"SIX","domain":"six-group.com","url":"https://alion.io/company/six","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":102000,"period":"year","method":"role_country_seniority_unknown","sample_n":361},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-15T01:31:56Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T05:13:40Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"SIX drives the transformation of financial markets.\nWhat sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.\n Marketing Data Scientist\nWarsaw|Up to 40% working from home possible| Reference8339\nSIX is building a dedicated Tech & Data capability within the Marketing & Communications (CMC) department, with the ambition to measure and steer marketing investment end-to-end: marketing mix modelling, multi-touch attribution and ROMI, operated in-house on the enterprise Databricks platform. Reporting to the Head Tech & Data Marketing & Communications, the Marketing Data Scientist owns the models themselves. The capability is built together with an implementation partner - this role is embedded in the modelling workstream from the first sprint and takes over the run: refresh, calibration, evolution. From day one it also shapes the methodological route, choosing where transparent contribution rules suffice and where advanced modelling earns its complexity. This is an opportunity for an applied data scientist who wants ownership of a full modelling stack in production, in a B2B environment with long sales cycles, buying committees, and a regulated context that takes explainability seriously.\nWhat You Will Do\nBuild and operate marketing mix models (Bayesian / econometric) quantifying channel and brand contribution across business units\nBuild and operate account-level multi-touch attribution (MTA) models designed for long B2B cycles, buying committees and in-flight opportunities\nDesign and run incrementality and geo-lift experiments; use them to calibrate and challenge the models\nDevelop personalization, propensity and further applied-AI models feeding segmentation, targeting and next-best-action use cases\nOwn model refresh, monitoring, calibration, documentation and explainability to finance-grade and regulatory standards\nWork hands-on in the ML environment (MLflow, model serving, AI endpoints); embed with the implementation partner's model squad and own the handover\nTranslate model outputs into scenario planning and budget optimisation together with the CMC Measurement & Insights Lead\nWhat You Bring\nA strong applied data-science background: Bayesian methods or econometrics, causal inference, time-series modelling\nHands-on experience with marketing mix modelling and/or attribution modelling in production; B2B context a plus\nSolid engineering craft: Python, PySpark and ML lifecycle tooling on Databricks or a comparable platform\nExperience designing experiments: control groups, geo tests, incrementality measurement\nThe discipline to document and explain models to non-technical stakeholders in a regulated environment\nThe judgement to keep it simple where simple wins - transparent rules first, complexity where it demonstrably adds value\nExperience embedding AI agents into business processes - designing, building and evaluating agentic workflows (e.g. on Databricks AI gateway and endpoints) beyond classic modelling\nIf you have any questions, check out our FAQ page or call Agnieszka Leputaat +48 538 562 645\nFor this vacancy we only accept direct applications.\nDiversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.","description_format":"text","description_chars":3424,"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":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Events & Ticketing","Financial Services","Data Providers & Datasets"],"lifecycle":[{"event":"open","at":"2026-10-15T01:31:56Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":20,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/six-marketing-data-scientist","json_url":"https://alion.io/job/six-marketing-data-scientist.json","meta":{"generated_at":"2026-10-16T06:29:48Z","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":4217,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":47665},"rest":"https://alion.io/mcp/rest/get_company?id=47665"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsix-marketing-data-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%2Fsix-marketing-data-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%2Fsix-marketing-data-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/six-marketing-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsix-marketing-data-scientist"}]}