{"schemaVersion":"jobsearcher.job.v1","id":"9ea366a1ff5ccb162b887403","url":"https://jobsearcher.com/jobs/9ea366a1ff5ccb162b887403","canonicalUrl":"https://jobsearcher.com/jobs/9ea366a1ff5ccb162b887403","title":"Manager, Data Science, Forecasting & Routing","description":"Reporting to the Director of Data Science and partnering closely with Product, Engineering, and Actuarial teams, the Manager of Data Science will lead a team responsible for forecasting care utilization and optimizing member routing decisions. This role will drive the development of decision systems that balance clinical outcomes with business economics, enabling sustainable growth of Spring Health’s care models.\n\nhybrid role based in San Francisco with an expectation to be in the office 2–3 days per week at our 44 Montgomery Street location. Candidates must be based in the San Francisco metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on‑sites.\n\nWhat you’ll do:\n\nLead and develop a team of data scientists working on utilization forecasting and care routing optimization\n\nDefine and execute the data science roadmap supporting forecasting accuracy, experimentation, and decision systems\n\nBuild and productionize forecasting models that predict care utilization across customer lifecycle stages\n\nDevelop and iterate on routing algorithms and experimentation frameworks to influence member care pathways\n\nPartner with Product and Engineering to translate models into scalable, real‑time systems\n\nCollaborate with Actuarial and Finance teams to align forecasts with pricing assumptions and business targets\n\nDesign and analyze experiments to evaluate interventions that shift member behavior and care utilization\n\nEstablish monitoring systems to detect deviations in utilization trends and trigger interventions\n\nCommunicate insights, risks, and trade‑offs clearly to senior stakeholders\n\nEnsure high standards for model quality, documentation, and reproducibility\n\nWhat success looks like:\n\nForecast accuracy for care utilization within defined error thresholds across new and existing customers\n\nMeasurable improvement in gross margin driven by data science initiatives\n\nReduction in variance between expected and actual utilization levels\n\nExperimentation velocity (e.g., number of experiments launched and evaluated per quarter)\n\nAdoption rate of data‑driven routing strategies in production systems\n\nStakeholder satisfaction with data science outputs and decision support\n\nTeam delivery reliability (projects completed on time and within scope)\n\nWhat you’ll bring:\n\n5+ years of experience in data science, with at least 2+ years managing teams\n\nExperience building and deploying machine learning models in production environments\n\nStrong foundation in statistical modeling, experimentation, and causal inference\n\nExperience working cross‑functionally with product and engineering teams to ship data products\n\nProven ability to translate ambiguous business problems into structured analytical solutions\n\nStrong communication skills, with the ability to influence non‑technical stakeholders\n\nExperience managing projects with multiple stakeholders and competing priorities\n\nExperience in healthcare, benefits, or risk‑based business models\n\nExperience with forecasting, time series modeling, or demand planning\n\nFamiliarity with experimentation platforms and behavioral interventions\n\nExperience working on marketplace, routing, or recommendation systems\n\nExperience with cost optimization or unit economics problems\n\nThe target base salary range for this position is $183,000 - $205,500 , and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.\n\nBenefits provided by Spring Health:\n\nHealth, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts. HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.\n\nEmployer sponsored 401(k) match of up to 2% for retirement planning.\n\nA yearly allotment of no‑cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.\n\nWe offer competitive paid time off policies including vacation, sick leave and company holidays.\n\nAt 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non‑birthing parents.\n\nNoom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.\n\nCarrot, in addition to $4,000 reimbursement for related fertility expenses.\n\nWellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription.\n\nBrightHorizons, which provides sponsored child care, back‑up care, and elder care.\n\nUp to $1,000 Professional Development Reimbursement a year.\n\n$200 per year donation matching to support your favorite causes.\n\nOur privacy policy: https://springhealth.com/privacy-policy/\n\nSpring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.\n\n#J-18808-Ljbffr","company":"Bbg Ventures","rawCompany":"bbg ventures","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-18T03:23:47.906Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-9121.00","title":"Natural Sciences Managers","slug":"natural-sciences-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541618","title":"Other Management Consulting Services","slug":"other-management-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Data Science, Forecasting & Routing","description":"Reporting to the Director of Data Science and partnering closely with Product, Engineering, and Actuarial teams, the Manager of Data Science will lead a team responsible for forecasting care utilization and optimizing member routing decisions. This role will drive the development of decision systems that balance clinical outcomes with business economics, enabling sustainable growth of Spring Health’s care models.\n\nhybrid role based in San Francisco with an expectation to be in the office 2–3 days per week at our 44 Montgomery Street location. Candidates must be based in the San Francisco metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on‑sites.\n\nWhat you’ll do:\n\nLead and develop a team of data scientists working on utilization forecasting and care routing optimization\n\nDefine and execute the data science roadmap supporting forecasting accuracy, experimentation, and decision systems\n\nBuild and productionize forecasting models that predict care utilization across customer lifecycle stages\n\nDevelop and iterate on routing algorithms and experimentation frameworks to influence member care pathways\n\nPartner with Product and Engineering to translate models into scalable, real‑time systems\n\nCollaborate with Actuarial and Finance teams to align forecasts with pricing assumptions and business targets\n\nDesign and analyze experiments to evaluate interventions that shift member behavior and care utilization\n\nEstablish monitoring systems to detect deviations in utilization trends and trigger interventions\n\nCommunicate insights, risks, and trade‑offs clearly to senior stakeholders\n\nEnsure high standards for model quality, documentation, and reproducibility\n\nWhat success looks like:\n\nForecast accuracy for care utilization within defined error thresholds across new and existing customers\n\nMeasurable improvement in gross margin driven by data science initiatives\n\nReduction in variance between expected and actual utilization levels\n\nExperimentation velocity (e.g., number of experiments launched and evaluated per quarter)\n\nAdoption rate of data‑driven routing strategies in production systems\n\nStakeholder satisfaction with data science outputs and decision support\n\nTeam delivery reliability (projects completed on time and within scope)\n\nWhat you’ll bring:\n\n5+ years of experience in data science, with at least 2+ years managing teams\n\nExperience building and deploying machine learning models in production environments\n\nStrong foundation in statistical modeling, experimentation, and causal inference\n\nExperience working cross‑functionally with product and engineering teams to ship data products\n\nProven ability to translate ambiguous business problems into structured analytical solutions\n\nStrong communication skills, with the ability to influence non‑technical stakeholders\n\nExperience managing projects with multiple stakeholders and competing priorities\n\nExperience in healthcare, benefits, or risk‑based business models\n\nExperience with forecasting, time series modeling, or demand planning\n\nFamiliarity with experimentation platforms and behavioral interventions\n\nExperience working on marketplace, routing, or recommendation systems\n\nExperience with cost optimization or unit economics problems\n\nThe target base salary range for this position is $183,000 - $205,500 , and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.\n\nBenefits provided by Spring Health:\n\nHealth, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts. HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.\n\nEmployer sponsored 401(k) match of up to 2% for retirement planning.\n\nA yearly allotment of no‑cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.\n\nWe offer competitive paid time off policies including vacation, sick leave and company holidays.\n\nAt 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non‑birthing parents.\n\nNoom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.\n\nCarrot, in addition to $4,000 reimbursement for related fertility expenses.\n\nWellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription.\n\nBrightHorizons, which provides sponsored child care, back‑up care, and elder care.\n\nUp to $1,000 Professional Development Reimbursement a year.\n\n$200 per year donation matching to support your favorite causes.\n\nOur privacy policy: https://springhealth.com/privacy-policy/\n\nSpring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.\n\n#J-18808-Ljbffr","datePosted":"2026-06-18T03:23:47.906Z","dateModified":"2026-06-18T03:23:47.906Z","hiringOrganization":{"@type":"Organization","name":"Bbg Ventures","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9ea366a1ff5ccb162b887403"},"url":"https://jobsearcher.com/jobs/9ea366a1ff5ccb162b887403"}}