{"id":2229206,"url":"https://alion.io/job/yettel-hungary-senior-data-scientist","title":"Senior Data Scientist","company":{"id":54997,"name":"Yettel Hungary","domain":"yettel.hu","url":"https://alion.io/company/yettel-hungary","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Törökbálint, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":85000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon 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statistical methodsParticipating in generative AI initiatives including working with LLMs, knowledge graphs, traditional NLP approaches, and custom modelsStaying up to date with the latest research in data science and generative AIBuilding and deploying production-ready models in collaboration with MLOps engineers, data engineers, product management, and ITMentoring junior and medior colleagues and leading internal knowledge-sharing sessionsAz álláshoz tartozó elvárások\nBSc or MSc of Economics, Technology, Natural or Social SciencesRoutine in handling large volumes of enterprise dataAdvanced use of data science tools including Python and SQLAt least 4-5 years of experience in a data science, advanced analytics or machine learning engineer roleThorough understanding of statistics, machine learning and data modellingExcellent problem-solving skillsAbility to work independently and as part of a teamProficient level of EnglishAz állás betöltéséhez előnyt jelent\nExperience with MLflow and SparkExperience working in a cloud environmentKnowledge of AWS, Sagemaker and BedrockExperience working in a consumer setting and marketingBasic level use of AI tools and confident integration into day-to-day workAmit kínálunk\nFlexible working including 10 home office days per monthCollective life and health insurancePaternity leaveFree advice in lifestyle, psychology, law and financeAccess to office gym and saunasCompany smartphone with unlimited internetDiscounted rates for family and friendsTrainings, courses and online platform for continuous developmentUnique headquarter with panoramic terrace, outdoor sports field and alternative garden officeAccess to Yettel buses from several city stationsCéginformáció:\nYettel Hungary Ltd. is one of Hungary's leading telecommunications companies with more than 1,800 colleagues working at nearly 130 locations across the 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