{"schemaVersion":"jobsearcher.job.v1","id":"d4bbbd8e2181509e5ce131ec","url":"https://jobsearcher.com/jobs/d4bbbd8e2181509e5ce131ec","canonicalUrl":"https://jobsearcher.com/jobs/d4bbbd8e2181509e5ce131ec","title":"Data Science Manager (Tapestry)","description":"Software Engineering Mountain View, CA (HQ)\n\nAbout Tapestry\n\nTapestry is Alphabet’s moonshot for the electric grid, working at the frontier where energy’s complexity meets AI’s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.\n\nTo keep pace with humanity’s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently—ensuring electricity remains reliable and affordable for everyone.\n\nThis is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.\n\nJoining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design—all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here .\n\nAbout the role:\nAt Tapestry, data drives all our decision-making. Data Scientists work across the organization to help shape our business and technical strategies by processing, analyzing, and interpreting massive datasets. They lead our metrics assessment, analyze massive datasets and derive early insights, and partner with cross functional teams on the right datasets for maximum downstream impact. As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high‑performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value.\n\nIn this role, you will deeply immerse yourself with the team of data scientists in data collection and analysis, develop compelling, synthesized recommendations for senior leadership, and be involved to help drive implementation. Ultimately, your team's solutions will fundamentally improve electric grid visibility and resilience.\n\nHow you will contribute to the team…\n1. Team Leadership and Strategic Delivery\n\nPeople Management: Recruit, mentor, and lead a world‑class team of data scientists. Cultivate talent through active technical mentorship and clear career development paths.\n\nCross‑Functional Alignment: Collaborate with engineering, product, power system experts, and external partners to translate high‑level business goals into rigorous data science roadmaps.\n\nExecutive Communication: Persuasively communicate your team's findings and strategic recommendations to senior executives and cross functional teams, tracking the long‑term business impact of the solutions.\n\n2. Data Integrity and Curation Strategy at Scale\n\nPipeline Oversight: Guide the team in discovering, investigating, and deriving insights from large and complex input datasets, both current and potential, from partners and other sources.\n\nGatekeeping Metrics: Oversee the definition of problem framing, test datasets, and core business, product and performance metrics that machine learning models will aim to optimize for.\n\nMulti‑Stage Quality Control: Ensure data integrity across the pipeline by establishing frameworks to assess intermediate datasets and metrics within multi‑stage machine learning processes.\n\nAnnotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes quality through statistical rigor, ensuring data reliability for all downstream modeling.\n\n3. Problem Definition and Advanced Analytics\n\nGrid Visibility and Innovation: Lead the proactive exploration of new problem spaces to fundamentally improve electric grid visibility and resilience.\n\nExperimentation Frameworks: Standardize how the team designs, executes, and analyzes A/B tests and other experiments to validate hypotheses and measure product impact.\n\nEngineering Best Practices: Champion modern data science workflows, including the application of GenAI techniques for data analysis, ensuring the team follows robust engineering best practices.\n\nWhat you should have…\n\nPhD or Master’s in a quantitative field and 8+ years of tech or energy industry work experience as a statistician, quantitative analyst, or data scientist.\n\n5+ years of experience directly managing or leading high‑performing data science and analytics teams, with a proven track record of delivering production‑grade data solutions.\n\nA proven track record of identifying where data science can add unique value during early product development, alongside a strong ability to influence other teams to collaborate on critical data science work.\n\nAdvanced skills in experimental design, including the ability to architect, guide, and validate robust A/B testing methodologies and statistical experiments in ambiguous environments.\n\nExperience in Python, SQL, R, Pandas, Scikit‑Learn, other ML frameworks as appropriate.\n\nExperience with electric power grid data, and physics based understanding of electrical networks and utility data. Ability to bridge the gap between power systems and machine learning.\n\nExperience in multivariate analysis, stochastic models, and sampling methods. Able to select the right statistical tool to solve for bias, variance, and data drift.\n\nApplied experience with building comprehensive machine learning model evaluation tooling and processes on large datasets.\n\nProven ability to \"zoom out\" from complex technical details to build a cohesive product strategy, and \"zoom in\" to unblock technical hurdles.\n\nDemonstrate strong collaboration with software engineering and cross functional teams to build ML‑powered systems ready for production.\n\nExceptional storytelling abilities, with a knack for turning complex data pipelines and model metrics into clear business value for non-technical stakeholders.\n\nWould be great to have…\n\nAbility to thrive in ambiguity, set own goals and effectively delivering to them in a very fast‑changing environment\n\nAttention to detail, project management, and organizational skills\n\nFast learner with capacity to learn about a wide‑spread of different technologies and industries\n\nPassion for the energy and climate space\n\nTrack record of delivering scalable solutions to complex software problems\n\nExperience in startup or high‑growth environments\n\nWhat we offer:\n\nA culture that supports growth, ownership, and meaningful impact, along with…\n\nCompetitive salary and equity\n\nMedical, dental, and vision coverage\n\nGenerous PTO and flexible hybrid work model\n\n401(k) with employer contribution\n\nThe ability to work on important real‑world problems within an Alphabet‑backed environment\n\nThe US base salary range for this full‑time position is $207,000 - $304,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.\n\nPlease note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.\n\nAn Equal Opportunity Workplace\nAt X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.\n\nThis position is located in Mountain View, CA.\n\n#J-18808-Ljbffr","company":"X Development","rawCompany":"x development","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-20T03:36:00.907Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science Manager (Tapestry)","description":"Software Engineering Mountain View, CA (HQ)\n\nAbout Tapestry\n\nTapestry is Alphabet’s moonshot for the electric grid, working at the frontier where energy’s complexity meets AI’s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.\n\nTo keep pace with humanity’s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently—ensuring electricity remains reliable and affordable for everyone.\n\nThis is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.\n\nJoining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design—all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here .\n\nAbout the role:\nAt Tapestry, data drives all our decision-making. Data Scientists work across the organization to help shape our business and technical strategies by processing, analyzing, and interpreting massive datasets. They lead our metrics assessment, analyze massive datasets and derive early insights, and partner with cross functional teams on the right datasets for maximum downstream impact. As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high‑performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value.\n\nIn this role, you will deeply immerse yourself with the team of data scientists in data collection and analysis, develop compelling, synthesized recommendations for senior leadership, and be involved to help drive implementation. Ultimately, your team's solutions will fundamentally improve electric grid visibility and resilience.\n\nHow you will contribute to the team…\n1. Team Leadership and Strategic Delivery\n\nPeople Management: Recruit, mentor, and lead a world‑class team of data scientists. Cultivate talent through active technical mentorship and clear career development paths.\n\nCross‑Functional Alignment: Collaborate with engineering, product, power system experts, and external partners to translate high‑level business goals into rigorous data science roadmaps.\n\nExecutive Communication: Persuasively communicate your team's findings and strategic recommendations to senior executives and cross functional teams, tracking the long‑term business impact of the solutions.\n\n2. Data Integrity and Curation Strategy at Scale\n\nPipeline Oversight: Guide the team in discovering, investigating, and deriving insights from large and complex input datasets, both current and potential, from partners and other sources.\n\nGatekeeping Metrics: Oversee the definition of problem framing, test datasets, and core business, product and performance metrics that machine learning models will aim to optimize for.\n\nMulti‑Stage Quality Control: Ensure data integrity across the pipeline by establishing frameworks to assess intermediate datasets and metrics within multi‑stage machine learning processes.\n\nAnnotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes quality through statistical rigor, ensuring data reliability for all downstream modeling.\n\n3. Problem Definition and Advanced Analytics\n\nGrid Visibility and Innovation: Lead the proactive exploration of new problem spaces to fundamentally improve electric grid visibility and resilience.\n\nExperimentation Frameworks: Standardize how the team designs, executes, and analyzes A/B tests and other experiments to validate hypotheses and measure product impact.\n\nEngineering Best Practices: Champion modern data science workflows, including the application of GenAI techniques for data analysis, ensuring the team follows robust engineering best practices.\n\nWhat you should have…\n\nPhD or Master’s in a quantitative field and 8+ years of tech or energy industry work experience as a statistician, quantitative analyst, or data scientist.\n\n5+ years of experience directly managing or leading high‑performing data science and analytics teams, with a proven track record of delivering production‑grade data solutions.\n\nA proven track record of identifying where data science can add unique value during early product development, alongside a strong ability to influence other teams to collaborate on critical data science work.\n\nAdvanced skills in experimental design, including the ability to architect, guide, and validate robust A/B testing methodologies and statistical experiments in ambiguous environments.\n\nExperience in Python, SQL, R, Pandas, Scikit‑Learn, other ML frameworks as appropriate.\n\nExperience with electric power grid data, and physics based understanding of electrical networks and utility data. Ability to bridge the gap between power systems and machine learning.\n\nExperience in multivariate analysis, stochastic models, and sampling methods. Able to select the right statistical tool to solve for bias, variance, and data drift.\n\nApplied experience with building comprehensive machine learning model evaluation tooling and processes on large datasets.\n\nProven ability to \"zoom out\" from complex technical details to build a cohesive product strategy, and \"zoom in\" to unblock technical hurdles.\n\nDemonstrate strong collaboration with software engineering and cross functional teams to build ML‑powered systems ready for production.\n\nExceptional storytelling abilities, with a knack for turning complex data pipelines and model metrics into clear business value for non-technical stakeholders.\n\nWould be great to have…\n\nAbility to thrive in ambiguity, set own goals and effectively delivering to them in a very fast‑changing environment\n\nAttention to detail, project management, and organizational skills\n\nFast learner with capacity to learn about a wide‑spread of different technologies and industries\n\nPassion for the energy and climate space\n\nTrack record of delivering scalable solutions to complex software problems\n\nExperience in startup or high‑growth environments\n\nWhat we offer:\n\nA culture that supports growth, ownership, and meaningful impact, along with…\n\nCompetitive salary and equity\n\nMedical, dental, and vision coverage\n\nGenerous PTO and flexible hybrid work model\n\n401(k) with employer contribution\n\nThe ability to work on important real‑world problems within an Alphabet‑backed environment\n\nThe US base salary range for this full‑time position is $207,000 - $304,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.\n\nPlease note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.\n\nAn Equal Opportunity Workplace\nAt X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.\n\nThis position is located in Mountain View, CA.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:36:00.907Z","dateModified":"2026-06-20T03:36:00.907Z","hiringOrganization":{"@type":"Organization","name":"X Development","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d4bbbd8e2181509e5ce131ec"},"url":"https://jobsearcher.com/jobs/d4bbbd8e2181509e5ce131ec"}}