{"id":2111854,"url":"https://alion.io/job/mindbox-data-scientist-mindbox","title":"Data Scientist_Mindbox","company":{"id":53456,"name":"Mindbox","domain":"mindboxgroup.com","url":"https://alion.io/company/mindbox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":87,"open_postings":71,"ghost_share":0,"stale_share":0.493,"repost_share":0.028,"time_to_fill_p50_days":53,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":86000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Keras","optional":true},{"name":"LLM","optional":true},{"name":"NumPy","optional":true},{"name":"Optuna","optional":true},{"name":"Pandas","optional":true},{"name":"Polars","optional":true},{"name":"pySpark","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"TensorFlow","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-01-12T09:33:40Z","employer_posted_date":"2026-01-12","last_verified_at":"2026-10-17T11:47:40Z","board_verified":true,"closed_at":null,"days_open":278,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":277},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nDo you want to work on end-to-end projects that truly impact business decisions? We’re looking for a Data Scientist who can turn data into real business value and implement innovative solutions.\nSounds like your kind of challenge?\nResponsibilities\n Flexible cooperation model - choose the form that suits you best(B2B, employment contract, etc.)\n\nHybrid work setup - remote days available depending on the client’s arrangements\n\nCollaborative team culture - work alongside experienced professionals eager to share knowledge\n\nContinuous development - access to training platforms and growth opportunities\n\nComprehensive benefits - including InterpolskaHealth Care, Multisport card, Warta Insurance, and more\n\nHigh quality equipment - laptop and essential software provided\n\nNote:Detailed project information will be shared during the recruitment process.\nRequirements\nDesign and implement machine learning models (predictive, classification, segmentation, recommendation, optimization, NLP).\nPerform data analysis, exploration, and prepare datasets for modeling.\nPrototype and test analytical approaches.\nDevelop and deploy production-grade ML solutions.\nCollaborate with clients: requirements analysis, presenting concepts and results.\nStay up to date with new technologies, libraries, and ML trends; propose innovative solutions\nBenefits\nTech Stack:\n Languages & tools: Python, Jupyter/Zeppelin, SQL, Spark (PySpark)\nLibraries: Pandas, Numpy, Scikit-learn, Scipy, XGBoost\nNice to have: TensorFlow, PyTorch, Keras, Optuna, Polars\nRequired Skills\nUniversity degree in quantitative fields (econometrics, mathematics, computer science, quantitative methods)\nMinimum 3 years of experience as a Data Scientist in commercial projects\nStrong data processing skills (SQL, Python)\nSolid knowledge of ML algorithms and hands-on implementation in Python\nVery good command of Python (OOP, code optimization)\nAbility to communicate with business stakeholders and present results clearly\nNice to Have\nEnd-to-end project delivery experience: from concept to deployment\nExperience in NLP, LLM, or Generative AI projects\nWork with large-scale datasets (Apache Spark)\nFamiliarity with cloud platforms (AWS, Azure, GCP)\nJoining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. 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