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Microsoft · 8 hours ago

Principal Data Science Manager

Boston, MA

Full-time

Onsite

Lead/Staff

$163K/yr - $296K/yr

8+ years exp

Microsoft is a global engineering organization that works directly with customers to leverage the latest technologies. They are seeking a Principal Data Science Manager to lead a team of data scientists and drive high-impact engineering projects, transforming customer missions using AI and cloud-based solutions.

Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware

Growth Opportunities

No H1B

Responsibilities

You will support and manage your team’s activities in constructing final datasets from raw data, ensuring data is prepared in a multi-functional approach. You’ll also help your team understand key data exploration tools, and coach junior engineers in data analysis best practices

You will develop new predictive and prescriptive models with the goal of producing viable solutions and oversee data and statistical analyses across multiple teams. You’ll also communicate results of assessments and process reviews to upper management and drive the deployment of evaluation results

You will oversee collaboration efforts with other engineering teams, and share industry and research knowledge through conferences, white papers, and more. You’ll also be responsible for enabling the team from both technology and business acumen perspectives

You will champion innovative principles that affect Microsoft’s long-term business goals, while looking for opportunities across multiple customers and developing novel designs for future products. You’ll also establish and implement a customer-oriented focus within the team and organization

Embodies our culture and values

Qualification

Data ScienceStatistical TechniquesPeople ManagementCloud-based SolutionsData ManagementCustomer-facing ExperienceProject DeliveryConsulting Experience

Required

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience

5+ years people-management experience

Preferred

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience

7+ years people-management experience

5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience