Principal Data Science Manager

MicrosoftBoston, MA
3d

About The Position

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. We are hiring a Principal Data Science Manager to lead a team of data scientists as they work with software engineering teams to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Each data scientist works closely with a dev lead to co-lead a cross-functional team of software engineers, technical program managers, and designers. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. You will enable the data scientists on your team to apply their skills, creativity, and aspirations to benefit our customers and advance their careers. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

  • 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.
  • Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.

Nice To Haves

  • 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.

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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Manager

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service