{"schemaVersion":"jobsearcher.job.v1","id":"831781feb5dfccd1400f6019","url":"https://jobsearcher.com/jobs/831781feb5dfccd1400f6019","canonicalUrl":"https://jobsearcher.com/jobs/831781feb5dfccd1400f6019","title":"Applied Scientist - Optimization","description":"We're looking for an applied scientist to build the optimization and decision-making systems at the core of our agents. You'll work on cost modeling, supplier scoring, risk quantification, and multi-objective optimization, turning messy real-world supply chain problems into tractable computational ones.\n\nCompensation range for this role is $170,000 - $240,000 + equity.\n\nWhat you'll do:\n\nDesign and implement optimization algorithms for supplier selection, cost modeling, and supply chain network design\n\nBuild quantitative models for risk assessment, lead time estimation, and demand forecasting\n\nDevelop simulation frameworks to evaluate agent decisions against real-world procurement outcomes\n\nWork with ML engineers to combine classical optimization techniques with LLM-based reasoning\n\nValidate models against customer data and continuously improve accuracy based on deployment feedback\n\nYou may be a good fit if you:\n\nHave a PhD or MS in operations research, applied math, CS, or a quantitative field\n\nHave strong foundations in optimization (linear/integer programming, combinatorial optimization, stochastic methods)\n\nAre proficient in Python and scientific computing libraries (NumPy, SciPy, OR-Tools, Gurobi, or similar)\n\nHave experience building models that ship to production, not just papers\n\nCan communicate complex quantitative concepts clearly to engineers and non-specialists\n\nBonus: experience with supply chain optimization, logistics, or procurement modeling\n\n#J-18808-Ljbffr","company":"Optimized","rawCompany":"optimized","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-16T03:57:12.418Z","occupations":[{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"},{"code":"11-3071.04","title":"Supply Chain Managers","slug":"supply-chain-managers"},{"code":"13-1081.01","title":"Logistics Engineers","slug":"logistics-engineers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541614","title":"Process, Physical Distribution, and Logistics Consulting Services","slug":"process-physical-distribution-and-logistics-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist - Optimization","description":"We're looking for an applied scientist to build the optimization and decision-making systems at the core of our agents. You'll work on cost modeling, supplier scoring, risk quantification, and multi-objective optimization, turning messy real-world supply chain problems into tractable computational ones.\n\nCompensation range for this role is $170,000 - $240,000 + equity.\n\nWhat you'll do:\n\nDesign and implement optimization algorithms for supplier selection, cost modeling, and supply chain network design\n\nBuild quantitative models for risk assessment, lead time estimation, and demand forecasting\n\nDevelop simulation frameworks to evaluate agent decisions against real-world procurement outcomes\n\nWork with ML engineers to combine classical optimization techniques with LLM-based reasoning\n\nValidate models against customer data and continuously improve accuracy based on deployment feedback\n\nYou may be a good fit if you:\n\nHave a PhD or MS in operations research, applied math, CS, or a quantitative field\n\nHave strong foundations in optimization (linear/integer programming, combinatorial optimization, stochastic methods)\n\nAre proficient in Python and scientific computing libraries (NumPy, SciPy, OR-Tools, Gurobi, or similar)\n\nHave experience building models that ship to production, not just papers\n\nCan communicate complex quantitative concepts clearly to engineers and non-specialists\n\nBonus: experience with supply chain optimization, logistics, or procurement modeling\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:57:12.418Z","dateModified":"2026-07-16T03:57:12.418Z","hiringOrganization":{"@type":"Organization","name":"Optimized","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"831781feb5dfccd1400f6019"},"url":"https://jobsearcher.com/jobs/831781feb5dfccd1400f6019"}}