{"id":2502122,"url":"https://alion.io/job/abra-data-scientist-2","title":"data Scientist","company":{"id":3537,"name":"abra","domain":"abra-it.com","url":"https://alion.io/company/abra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"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":"explicit","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":216000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-13T10:06:58Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T06:15:17Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Description\nabra professional services is seeking a Data Scientist.\nWe are looking for a skilled Data Scientist to join a model development team and lead the development of strategic, enterprise-wide AI and machine learning initiatives across business domains.\nThis role requires strong hands-on experience in end-to-end model development, classic machine learning, classification and regression models, tabular data, data analysis, Python, and translating business requirements into technical and analytical solutions.\nA full-time hybrid position based in Central Israel, with 1 day a week remote.\nKey Responsibilities:\nDesign, develop, and deploy machine learning models on AWS-based infrastructure.\nDerive actionable insights from data using advanced analytical tools and artificial intelligence technologies.\nDefine algorithmic solutions to address complex business challenges.\nAnalyze structured and unstructured data from diverse sources.\nPresent analytical findings and strategic business insights to stakeholders.\nEvaluate and measure model performance and effectiveness.\nRequirements\nmandatory requirements:\nMinimum 5 years of hands-on experience in end-to-end model development.\nMandatory hands-on experience with machine learning models for classification and regression.\nAt least 5 years of experience processing and analyzing large-scale tabular datasets.\nProven hands-on experience in Python development.\nStrong experience in data analysis and data preparation for models.\nStrong experience in the data domain.\nStrong analytical and problem-solving skills, with the ability to translate business requirements into robust technical and analytical solutions.\nBachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field.\nAdvantages:\nExperience developing Generative AI-based applications.\nExperience working in large, complex organizations with a broad, system-oriented perspective.\nPractical development experience and strong business understanding within the banking or financial services domain.\nExperience working in cloud-based environments.\nExperience in data processing using PySpark.\nPersonality requirements:\nStrong analytical thinking and problem-solving abilities.\nAbility to understand business needs and translate them into data-driven solutions.\nStrong communication skills and ability to present insights to stakeholders.\nIndependent, proactive, and able to work in a complex organizational 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