{"id":1337933,"url":"https://alion.io/job/catawiki-data-scientist-machine-learning-3","title":"Data Scientist - Machine Learning","company":{"id":3833471,"name":"Catawiki","domain":"catawiki.careers","url":"https://alion.io/company/catawiki-3","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"teamlyzer.com","ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":94000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Nginx","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T00:00:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Sobre a vaga\nAs a Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You’ll work closely with our product and development teams while implementing your work. You will focus on building production-ready models and finding data science opportunities by exploring extensive mobile and web data.\nO que vais fazer\nBuilding production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code\nFinding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems\nBeing pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques\nWorking with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML\nDeploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions\nO que é pedido\nAre an all-around data scientist with 3+ years of experience who is as comfortable diving into the internals of a model implementation as discussing new opportunities for ML with product stakeholders\nUnderstand and apply standard and widespread ML techniques in your area with little support\nHave a strong quantitative background (statistics, ML, sciences, etc.)\nAre fluent in Python and capable with SQL\nHave deployed ML models in production serving real time responses on a large scale\nAre able to effectively communicate about your models to a non tech-savvy audience\nHave demonstrable experience in building robust data products that created value for the company you worked for\nValorizado\nExperience with one or more of the following: Google cloud platform, Kubernetes, Git, CI/CD, Recommender systems, PyTorch, Kafka, nginx\nExperience working on developing ML products for online marketplaces / ecommerce platforms\nAn entrepreneurial mindset that enables you to get things done, even if that requires actions outside your own area or comfort zone\nProven ability to extract meaning from very big datasets with little engineering support\nO que é oferecido\nLearning & Development initiatives, including clear development plans and mentorship programmes\n€100 Catavoucher when you join\n€50 Catavoucher on your birthday\nExtra day off each year to Pursue Your Passion\nAdditional leave for key work anniversaries and important life events\nHybrid model with two days a week in the office\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":2743,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-27T14:54:48Z"}],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.852,"p_room":1,"age_days":4,"expected_fill_days":21,"reasons":["seen:4","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/catawiki-data-scientist-machine-learning-3","json_url":"https://alion.io/job/catawiki-data-scientist-machine-learning-3.json","meta":{"generated_at":"2026-09-28T23:31:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1149,"day_limit":5000,"remaining_today":3851,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}