{"id":122913,"url":"https://alion.io/job/veepee-data-scientist","title":"Data Scientist","company":{"id":8754,"name":"Veepee","domain":"veepee.com","url":"https://alion.io/company/veepee","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":93,"open_postings":48,"ghost_share":0,"stale_share":0.063,"repost_share":0,"time_to_fill_p50_days":120,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"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":41000,"max_usd":92000,"period":"year","method":"role_country_seniority_unknown","sample_n":29},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2025-11-03T15:24:12Z","employer_posted_date":"2025-11-03","last_verified_at":"2026-10-17T17:47:13Z","board_verified":true,"closed_at":null,"days_open":348,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":347},"description":"JOB DESCRIPTION\nAs a Data Scientist, you’ll join our Data Science team, distributed across Paris, Lyon, Barcelona, and Brussels.\nThe team focuses on implementing, maintaining, and continuously improving our recommender systems.\nToday, we deliver personalized sales recommendations to millions of users in real time-and we’re now scaling to include hundreds of thousands of products.\nYou will design and experiment with algorithms that power personalized recommendations across millions of users. 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