{"id":89007,"url":"https://alion.io/job/zoox-contract-student-worker-data-scientist","title":"Contract Student Worker - Data Scientist","company":{"id":3626,"name":"Zoox","domain":"zoox.com","url":"https://alion.io/company/zoox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":72,"open_postings":45,"ghost_share":0,"stale_share":0.911,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":167000,"max_usd":366000,"period":"year","method":"role_country_seniority_unknown","sample_n":3418},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-08-20T16:55:28Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-23T05:07:23Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"About Zoox\nZoox is an autonomous ridehailing company building the world's first purpose-built robotaxi - fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets.\nAbout Our Contract Student Worker Program\nZoox's contract student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters.\nRole Overview\nAs a Data Scientist focused on forecasting, you will help Fleet Operations anticipate the resources required to scale an autonomous vehicle service across markets. You will develop forecasting and scenario-planning capabilities across fleet availability, supply, staffing, operational demand, charging, and infrastructure. Your work will inform high-impact planning decisions and create a shared, data-driven view of future operational needs.\nResponsibilities\nDevelop forecasting models for fleet availability, supply hours, staffing, operational workload, charging demand, and infrastructure needs\nConvert spreadsheet-based planning processes into reproducible, scalable, and well-documented analytical workflows\nEvaluate model performance through backtesting, forecast-versus-actual reporting, and clearly defined accuracy measures\nRequired Qualifications\nBuild scenario models that help leaders understand the staffing, cost, and infrastructure implications of operational changes and market growth\n[placeholder]\nCombine statistical methods, machine learning, and AI-enabled tools to improve forecasts and make model outputs easier to interpret\nPrototype AI-powered decision-support tools that explain forecast drivers, identify emerging risks, and allow leaders to explore planning scenarios\nBonus Qualifications\nPartner with Workforce Management, Finance, Strategy, Data Science, and operational leaders to align assumptions and establish a shared operating forecast\nCurrently pursuing a master’s degree in data science, statistics, computer science, operations research, industrial engineering, economics, applied mathematics, or another quantitative field\nExperience with forecasting, statistical modeling, optimization, simulation, or machine learning through coursework, research, internships, or professional projects\nCommunicate model outputs\nAn AI-native technical skill set, with demonstrated experience using LLMs, coding copilots, APIs, or agent frameworks to develop analytical products or automate technical workflows\nStrong understanding of model evaluation, uncertainty, explainability, and human oversight.\nProgram Requirements\nAbility to select the right analytical approach for the problem rather than defaulting to the most complex model.\nCurrently enrolled in a B.S. or 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