{"id":2120761,"url":"https://alion.io/job/criteo-senior-data-scientist-commerce-analytics-insights","title":"Senior Data Scientist, Commerce Analytics & Insights","company":{"id":52884,"name":"Criteo","domain":"criteo.com","url":"https://alion.io/company/criteo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-22T06:10:10Z"}},"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":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":103000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-21T08:54:06Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"What You'll Do:\nWe are looking for a senior, strategic, and hands-on Data Scientist to lead the data and methodological backbone of Commerce Analytics and Commerce Insights at Criteo. This person will own the analytical rigor behind the work: building and improving pipelines, understanding source tables and data dependencies, ensuring reliable execution, and defining or validating the methodologies behind key metrics and outputs.\nThis role is not only about producing analyses. It is about creating trusted, scalable analytical foundations for Commerce Analytics and Insights, while staying close enough to business context to ensure the work remains relevant and useful.\nSuccess in this role means pipelines and analytical workflows are reliable, maintainable, and trusted; metrics are clearly defined, methodologically sound, and consistently applied; and analytical outputs are accurate and resilient enough for repeated commercial use. Data dependencies, assumptions, and limitations should be documented and understood, while manual analytical work should decrease over time as scalable solutions are introduced.\nThis role is not the primary owner of client orchestration or commercial project leadership. Its center of gravity is data execution, methodological rigor, and scalable analytical foundations.\nWhat You'll Do\nOwn the data-science and analytical execution layer of Commerce Analytics and Commerce Insights\nBuild, improve, and maintain data pipelines that power recurring analytics and insightgeneration\nDevelop deep understanding of source tables, data lineage, business logic, and data qualityrisks\nEnsure analytical outputs are correct, consistent, and operationally reliable\nDefine, document, challenge, and improve methodologies behind key metrics, cuts, andanalytical frameworks\nPartner with Solution Architect and commercial stakeholders to translate business questionsinto robust analytical approaches\nDrive the hands-on execution of analyses across commerce analytics and commerce insightsuse cases\nCreate scalable approaches rather than one-off manual work whenever possible\nInvestigate data issues, edge cases, or inconsistencies and resolve them with strongownership\nContribute to documentation, process improvement, and knowledge transfer so that work canscale beyond one individual\nHelp identify where automation, standardization, or better data design can improve quality and speed\nStay close to business context so that technical execution remains aligned with client and program needs\nWho You Are:\nSenior and hands-on, with strong ownership of both execution and quality\nDeeply comfortable with data engineering and pipelines, analytical logic, and metric design\nStrong SQL, Python, spark and strong coding skills for data processing and workflowdevelopment\nExperience building production-grade or near-production analytical pipelines\nExperience documenting methods and educating stakeholders on metric definitions and analytical caveats is a plus\nAble to understand what tables mean, how they connect, and where business interpretation can go wrong\nMethodologically rigorous, with strong judgment on how to define and validate metrics\nStructured and practical: you can move from ambiguous business questions to executable analytical solutions\nComfortable collaborating with client-facing and non-technical stakeholders, even if this is not the center of gravity of the role\nStrategic enough to improve the system, not just execute within it\nSignificant experience in data science, analytics engineering, analytical product work, or a similar role in a data-rich environment\nStrong understanding of experimentation, metrics, methodology design, and analytical QA\nExperience working with large-scale behavioral, commerce, or media datasets\nWe acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!\nWho We Are:\nWe’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.\nAt Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.\nWe foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs-never on non-job-related factors or legally protected characteristics.\nWhat We Offer:\nWays of working - Our hybrid model blends home with in-office experiences, making space for both.\nGrow with us - Learning, mentorship & career development programs.\nYour wellbeing matters - Health benefits, wellness perks & mental health support.\nA team that cares - Diverse, inclusive, and globally connected.\nFair pay & perks - Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.\nAdditionalbenefits may vary depending on the country where you work and the nature of your employment with Criteo.","description_format":"text","description_chars":5364,"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":["Equity"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-10-08T23:57:27Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.829,"p_room":0.75,"age_days":42,"expected_fill_days":51,"reasons":["conf:21","velocity","win:late"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/criteo-senior-data-scientist-commerce-analytics-insights","json_url":"https://alion.io/job/criteo-senior-data-scientist-commerce-analytics-insights.json","meta":{"generated_at":"2026-10-23T05:15:06Z","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":8635,"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":52884},"rest":"https://alion.io/mcp/rest/get_company?id=52884"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcriteo-senior-data-scientist-commerce-analytics-insights"},{"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%2Fcriteo-senior-data-scientist-commerce-analytics-insights"},{"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%2Fcriteo-senior-data-scientist-commerce-analytics-insights"},{"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/criteo-senior-data-scientist-commerce-analytics-insights\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcriteo-senior-data-scientist-commerce-analytics-insights"}]}