Principal Data Science Manager

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to imagine and build new AI solutions to complex problems?

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. As a part of ISE, at the AI Acceleration Studio we work closely with senior executives and cross-functional teams as we bring design, data science, and engineering to jointly develop cloud-based solutions that have high impact and can accelerate the organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more. We pride ourselves on making contributions to open source and making our platforms easier to use.

In this role, you will be working with engineers and designers, while managing a data science group to apply your skills, perspectives, and creativity to trailblaze new ground and build first-of-a-kind AI solutions.

We are hiring Principal Data Science Manager with broad experience and deep expertise in applying machine learning to real-world problems. You will develop and communicate hypotheses, analyses, results, ecosystem trends and ultimately innovative solutions to various stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program managers.

Our team is committed to embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact the world!

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. 

Responsibilities

People Management

• Managers deliver success through empowerment and accountability by modeling, coaching, and caring.
• Model - Live our culture; Embody our values; Practice our leadership principles.
• Coach - Define team objectives and outcomes; Enable success across boundaries; Help the team adapt and learn.
• Care - Attract and retain great people; Know each individual’s capabilities and aspirations; Invest in the growth of others.

Business Understanding and Impact

• Lead data-science projects or teams to align with business needs and deliver value.

Data Preparation and Understanding

• Lead data acquisition and understanding efforts for engineering projects using various tools and techniques.

Modeling and Statistical Analysis

• Develop and apply ML frameworks and best practices for scalable and ethical AI solutions.

Evaluation

• Oversee review of data analysis and modeling techniques. Ensure selected modeling techniques are appropriate and aligned with desired project outcomes. Decide on next steps (e.g., deployment, further iterations, new projects).

Industry and Research Knowledge/Opportunity Identification

• Provide feedback, drive improvement, and share knowledge as a data science expert.

Business Management

• Lead ML and data-science partnerships and IP improvements where applicable.

Customer/Partner Orientation

• Provide customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.

Other · Embody our culture and values

Qualifications

Required 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