{"schemaVersion":"jobsearcher.job.v1","id":"9dfb34db2a890e15441d6280","url":"https://jobsearcher.com/jobs/9dfb34db2a890e15441d6280","canonicalUrl":"https://jobsearcher.com/jobs/9dfb34db2a890e15441d6280","title":"Applied Scientist (Code-First)","description":"About Alembic\nAlembic is where top engineers are solving marketing's hardest problem: proving what actually works. If you're looking for frontier technical challenges at an applied science company, this is the place. At Alembic, we're not just building software—we're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune100 companies use to make multimillion‑dollar decisions. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more.\n\nAbout The Role\nWe're looking for an Applied Scientist who solves hard mathematical problems in marketing attribution through both algorithmic innovation and production‑quality implementation. You'll design novel approaches to measurement challenges, implement them as production systems, and work directly with customers to ensure statistical rigor at enterprise scale. This role is ideal for someone who wants to apply deep technical expertise to real‑world problems—shipping code that makes a difference, not just publishing papers.\n\nWhat You'll Do\n\nDesign and implement novel approaches to marketing measurement problems, shipping working code\n\nBuild production systems for causal inference that maintain statistical rigor at enterprise scale\n\nDevelop algorithms that are both mathematically sound and computationally efficient\n\nCollaborate with customers to understand their measurement challenges and develop technical solutions\n\nCreate tools and libraries that enable both internal teams and customers to leverage advanced analytics\n\nDocument research and implementation decisions for reproducibility and knowledge transfer\n\nWhat Will Help You Succeed\nApplied Science & Engineering\n\n5+ years developing and shipping research code in production environments\n\nStrong mathematical background - statistics, probability, optimization, causal inference\n\nProficient Python developer – can write production‑quality code, not just notebooks\n\nCausal inference expertise – practical experience applying causal methods to real problems\n\nData‑intensive systems – experience processing and analyzing large datasets\n\nResearch to production – track record of turning research ideas into shipping features\n\nCommunication skills – can explain complex technical concepts to varied audiences\n\nDomain & Advanced Skills\n\nMS or PhD with significant applied research experience\n\nBackground in econometrics, statistics, or computational social science\n\nExperience in marketing analytics, A/B testing, or measurement domains\n\nUnderstanding of ML engineering and MLOps practices\n\nAbility to work directly with customers on technical problems\n\nExperience with both Bayesian and frequentist statistical methods\n\nNice to Have\n\nPublished applied research or technical writing\n\nExperience in consulting or customer‑facing technical roles\n\nBackground in operations research or decision sciences\n\nFamiliarity with GPU computing and performance optimization\n\nUnderstanding of privacy‑preserving analytics and differential privacy\n\nWhy You Might Be Excited About Alembic\n\nHard problems with real impact: You'll tackle the hardest challenges in marketing analytics while building systems that influence multimillion‑dollar decisions at Fortune100 companies\n\nTechnical autonomy: You want ownership over technical decisions and the freedom to solve complex problems your way\n\nCutting‑edge technology: Work with advanced AI/ML algorithms, composite AI solutions, private NVIDIA DGX clusters, and the latest in data processing at scale\n\nElite team: Join top engineers who thrive on challenging problems and high‑impact work\n\nStartup upside: Early‑stage equity opportunity with experienced leadership and proven product‑market fit\n\nWhy You Might Not Be Excited\n\nIf you only want to tell people what to build instead of building and coding alongside them, we're not the environment for you\n\nYou prefer company practices with 100% built‑out process for every detail\n\nYou prefer static over dynamic. Projects, priorities, and roles will adapt to your skill set and goals. Though we have real paying customers and a playbook for growth, we proudly remain an early‑stage startup\n\nCompensation Range: $200K - $250K\n\nAbout the company\n\nAlembic Technologies\n\n#J-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-11T03:24:57.788Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2021.00","title":"Mathematicians","slug":"mathematicians"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-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"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist (Code-First)","description":"About Alembic\nAlembic is where top engineers are solving marketing's hardest problem: proving what actually works. If you're looking for frontier technical challenges at an applied science company, this is the place. At Alembic, we're not just building software—we're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune100 companies use to make multimillion‑dollar decisions. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more.\n\nAbout The Role\nWe're looking for an Applied Scientist who solves hard mathematical problems in marketing attribution through both algorithmic innovation and production‑quality implementation. You'll design novel approaches to measurement challenges, implement them as production systems, and work directly with customers to ensure statistical rigor at enterprise scale. This role is ideal for someone who wants to apply deep technical expertise to real‑world problems—shipping code that makes a difference, not just publishing papers.\n\nWhat You'll Do\n\nDesign and implement novel approaches to marketing measurement problems, shipping working code\n\nBuild production systems for causal inference that maintain statistical rigor at enterprise scale\n\nDevelop algorithms that are both mathematically sound and computationally efficient\n\nCollaborate with customers to understand their measurement challenges and develop technical solutions\n\nCreate tools and libraries that enable both internal teams and customers to leverage advanced analytics\n\nDocument research and implementation decisions for reproducibility and knowledge transfer\n\nWhat Will Help You Succeed\nApplied Science & Engineering\n\n5+ years developing and shipping research code in production environments\n\nStrong mathematical background - statistics, probability, optimization, causal inference\n\nProficient Python developer – can write production‑quality code, not just notebooks\n\nCausal inference expertise – practical experience applying causal methods to real problems\n\nData‑intensive systems – experience processing and analyzing large datasets\n\nResearch to production – track record of turning research ideas into shipping features\n\nCommunication skills – can explain complex technical concepts to varied audiences\n\nDomain & Advanced Skills\n\nMS or PhD with significant applied research experience\n\nBackground in econometrics, statistics, or computational social science\n\nExperience in marketing analytics, A/B testing, or measurement domains\n\nUnderstanding of ML engineering and MLOps practices\n\nAbility to work directly with customers on technical problems\n\nExperience with both Bayesian and frequentist statistical methods\n\nNice to Have\n\nPublished applied research or technical writing\n\nExperience in consulting or customer‑facing technical roles\n\nBackground in operations research or decision sciences\n\nFamiliarity with GPU computing and performance optimization\n\nUnderstanding of privacy‑preserving analytics and differential privacy\n\nWhy You Might Be Excited About Alembic\n\nHard problems with real impact: You'll tackle the hardest challenges in marketing analytics while building systems that influence multimillion‑dollar decisions at Fortune100 companies\n\nTechnical autonomy: You want ownership over technical decisions and the freedom to solve complex problems your way\n\nCutting‑edge technology: Work with advanced AI/ML algorithms, composite AI solutions, private NVIDIA DGX clusters, and the latest in data processing at scale\n\nElite team: Join top engineers who thrive on challenging problems and high‑impact work\n\nStartup upside: Early‑stage equity opportunity with experienced leadership and proven product‑market fit\n\nWhy You Might Not Be Excited\n\nIf you only want to tell people what to build instead of building and coding alongside them, we're not the environment for you\n\nYou prefer company practices with 100% built‑out process for every detail\n\nYou prefer static over dynamic. Projects, priorities, and roles will adapt to your skill set and goals. Though we have real paying customers and a playbook for growth, we proudly remain an early‑stage startup\n\nCompensation Range: $200K - $250K\n\nAbout the company\n\nAlembic Technologies\n\n#J-18808-Ljbffr","datePosted":"2026-07-11T03:24:57.788Z","dateModified":"2026-07-11T03:24:57.788Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9dfb34db2a890e15441d6280"},"url":"https://jobsearcher.com/jobs/9dfb34db2a890e15441d6280"}}