{"id":789243,"url":"https://alion.io/job/totalenergies-tech-lead-advanced-analytics","title":"Tech Lead – Advanced Analytics","company":{"id":452853,"name":"TotalEnergies","domain":"totalenergies.com","url":"https://alion.io/company/totalenergies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"B","score":76,"open_postings":27,"ghost_share":0.37,"stale_share":0,"repost_share":0.444,"time_to_fill_p50_days":21,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Geneva, 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Series","optional":true}],"status":"live","first_seen_at":"2026-09-12T02:44:56Z","employer_posted_date":"2026-09-12","last_verified_at":"2026-11-05T15:21:10Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"Education\nMaster's degree in Computer Science, Software Engineering, Mathematics, Physics, Engineering or related technical discipline.\nExperience\nMinimum 6 years of professional experience in software development, data science or related fields, including experience acting as a technical lead or senior technical contributor on complex software products.\nExperience deploying, operating and maintaining analytical or machine learning solutions in production environments.\nExperience working in Agile product teams within complex enterprise environments.\nExperience working in the energy trading industry, particularly in power markets, would be considered an advantage.\nTechnical 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developing modern frontend applications and data visualization tools using React, or similar frameworks, would be considered a plus.\nSkills\nExcellent communication and stakeholder management skills, with the ability to interact effectively with both technical and quantitative audiences.\nStrong analytical and problem-solving capabilities.\nDemonstrated ability to mentor engineers and provide technical leadership through influence.\nAbility to work effectively in a fast-paced, collaborative and international environment.\nStrong commitment to engineering excellence and continuous improvement.\nAdditional Information\nPreferred qualifications include:\nPhD in Computer Science, Mathematics, Physics, Operations Research, Machine Learning, Artificial Intelligence or another quantitative discipline.\nUnderstanding of European energy systems, electricity markets and quantitative trading workflows.\nExperience with forecasting, optimization, time-series analysis or other quantitative 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