About the Role
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 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 multidisciplinary environment, 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.
Responsibilities
- You will oversee your team’s data acquisition efforts, ensuring they know how to use data collection and analysis technologies. You’ll also optimize data analysis delivery and efficiency within and across teams.
- 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 hold teams accountable for thoroughly reviewing data analysis and modeling techniques and identify opportunities to reuse evaluation models.
- You will give performance and quality feedback on technologies and products developed by Product Engineering and provide coaching across internal teams to define and execute strategy. You’ll also create the required infrastructure to troubleshoot and identify appropriate solutions, while ensuring the team can execute professional-level coding and debugging.
- 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.
- Manage a portion of the team’s Book of Work, building portfolio management experience and maximizing value for customers and Microsoft.
- Provide clear career paths and coaching for your team members as a multidisciplinary leader, in collaboration with senior practitioners within the team.
- Act as a player-coach and work directly on engagements—demonstrating hands-on engineering leadership.
Qualifications
Required/Minimum Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) 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 7+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
- 3+ years people-management experience.
- 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
Additional or Preferred Qualifications
- 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.
- Enjoy travel and are comfortable with travel up to 25%.