{"id":4131816,"url":"https://alion.io/job/microsoft-principal-data-scientist-manager","title":"Principal Data Scientist Manager","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":85,"open_postings":487,"ghost_share":0.006,"stale_share":0.563,"repost_share":0.047,"time_to_fill_p50_days":29,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142800,"max":274800,"currency":"USD","period":"year","gross":null,"usd_annual":274800},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":true},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-05T22:39:47Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T02:36:56Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"OverviewCloud Operations + Innovation (CO+I) is the team behind one of the World’s largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft’s “Cloud First” mission. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide, and we are looking for passionate, high energy program managers to help achieve that mission.\nIf you want to have fundamental impact on how Microsoft’s Cloud is deployed and operated globally, want to be involved with one of the most strategically important teams at Microsoft, have strong technical and business acumen, leadership, creativity, and out of the box thinking are some of the skills you bring to the table - this job is for you!\nWe are seeking a Principal Data Scientist Manager to define and lead the analytics strategy, executive reporting, governance, and AI innovation for a critical data center utilization and power reclamation function. The successful candidate will establish trusted metrics, connect fragmented planning and execution signals, identify systemic opportunities, and provide decision intelligence for senior leadership. This role has global scope and requires cross-organizational leadership across capacity planning, engineering, deployment, finance, operations, and product teams. It is a full-time Microsoft employee position because it requires authoritative metric ownership, sustained strategic accountability, access to business-critical context, and deep institutional and datacenter domain expertise that cannot be effectively provided by vendor resources.\nIn this role, the successful candidate will partner closely with key business and engineering leaders to drive programs focused on transforming how we serve our customers. These programs will be on the leading edge of innovation and will include driving pilots and other experiments that shape ongoing strategy in delivering datacenters efficiently. You balance strong analytical and technical skills with the ability to influence decision makers within the CO+I leadership and execution teams spread across the rest of Azure. You will also partner very closely with related teams including planning, supply chain, operations, and software.\nResponsibilities\nDefine the analytics vision, operating model, and multi-year roadmap for the critical data center utilization and power reclamation function\nOwn the authoritative measurement framework for power reclamation function, including metric definitions, targets, attribution, forecasts, and executive narratives\nLead development and governance heatmaps, metrics, trackers, alerting, etc.\nEstablish data contracts, lineage, quality controls, reconciliation standards, and decision rights across capacity, power, network, reservation, deployment, and financial data\nIdentify portfolio-level risks and opportunities, quantify business impact, and drive decisions with senior leadership and partner organizations\nDesign predictive, prescriptive, and AI-assisted solutions that improve capacity placement, reservation management, anomaly detection, forecasting, and operational responsiveness\nSet technical standards for scalable data products, semantic models, experimentation, performance, reliability, and responsible AI\nLead complex cross-functional initiatives where requirements, ownership, and source-system definitions are ambiguous or evolving\nCommunicate strategy, progress, tradeoffs, and recommendations through concise executive reporting and business reviews\nProvide technical direction and mentorship to data scientists, analysts, and engineers, raising the organization's analytical maturity\nEmbody our Culture and Values\nQualifications\nRequired Qualifications:\nDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)\nOR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) \nOR equivalent experience\n\n3+ years people-management experience\nOther Requirements:\nAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.\nPreferred Qualifications:\nBachelor's degree in data science, computer science, statistics, engineering, operations research, or a related field AND 10+ years of data science, analytics, data engineering, or related experience, OR equivalent experience\nMaster's degree or doctorate in data science, computer science, statistics, engineering, operations research, or a related field\n7+ years of experience with SQL and analytical programming using Python, R, or a comparable language\n5+ years of experience leading complex, cross-functional data or analytics programs from strategy through production adoption\nExperience owning executive metrics, OKRs, governance, forecasting, or decision-support systems for large-scale operational programs \nExperience influencing senior leaders and establishing alignment across organizations with competing priorities and ambiguous ownership \nDeep experience in datacenter capacity planning, network and power infrastructure, hardware deployment, colocation operations, or cloud infrastructure\nExperience with Microsoft analytics technologies such as Azure Data Explorer/Kusto, Power BI, Fabric, Azure Databricks, or Azure Machine Learning\nExperience designing predictive, prescriptive, optimization, anomaly-detection, or generative AI solutions for operational decision-making\nDemonstrated success establishing enterprise metric governance, data contracts, lineage, and trusted executive reporting\nDemonstrated record of technical leadership, organizational influence, mentoring, and translating strategy into measurable business outcomes.\n#CloudInfrastructure\nData Science M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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