{"id":1818523,"url":"https://alion.io/job/slb-di-data-scientist","title":"D&I Data Scientist","company":{"id":2187498,"name":"SLB","domain":"schlumberger.com","url":"https://alion.io/company/schlumberger-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":81,"open_postings":163,"ghost_share":0,"stale_share":0.761,"repost_share":0.006,"time_to_fill_p50_days":45,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tripoli, Libya"],"countries":["LY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-01-14T07:35:05Z","employer_posted_date":"2026-01-26","last_verified_at":"2026-10-30T01:47:25Z","board_verified":true,"closed_at":null,"days_open":288,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":287},"description":"Entry-Level Data Scientist\nLocation:\nLibya\nEmployment Type:\nFull-time\nJob Summary\nWe are looking for a motivated Entry-Level Data Scientist to join our team in Libya. This role focuses on researching and solving open-ended data problems, developing algorithms, and applying machine learning and data-driven modeling to complex systems. This position offers hands-on experience in machinery diagnostics, predictive modeling, and industrial optimization.\nKey Responsibilities\nConduct research and tackle open-ended data problems and questions\n\nDevelop and implement new algorithms for data analysis and system optimization\n\nAssess next-generation technologies for machinery diagnostics and prognostics\n\nApply machine learning algorithms and population-based meta-heuristic optimization methods\n\nProcess and analyze large, multivariate datasets from equipment operations and manufacturing tests\n\nDevelop data-driven algorithms for anomaly detection, failure prediction, and system optimization\n\nCollaborate with field and product engineers to identify key system health monitoring parameters\n\nGenerate innovative ideas, establish new research directions, and execute technical projects\n\nApply theoretical knowledge to solve real industrial problems\n\nCommunicate ideas, plans, and results effectively via oral and written reports\n\nContribute to technical discussions and maintain state-of-the-art knowledge in relevant fields\n\nWhat We Offer\nHands-on experience in data science, predictive modeling, and industrial analytics\n\nMentoring from experienced data scientists and engineers\n\nExposure to real-world projects and industrial problem-solving\n\nCareer development opportunities in data-driven solutions and research\n\nCollaborative and supportive work environment\n\nQualifications & Experience\nBachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Physics, or a related quantitative field\n\nBasic knowledge of machine learning algorithms and optimization methods\n\nFamiliarity with data analysis, data processing, and algorithm development\n\nStrong analytical, problem-solving, and computational skills\n\nGood communication and teamwork abilities\n\nMotivation to learn and grow in data science and industrial applications\n\nSLB is an equal employment opportunity employer. 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