Principal Data Science Manager

Microsoft Corporation

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate AI 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?

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 pride ourselves in making contributions to open source and making our platforms easier to use.

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. In this role, you will be leading data scientists and working with our customers’ teams to apply your skills, perspectives, and creativity to grow as data scientists and help solve our customers’ toughest challenges.

We are hiring a Principal Data Science Manager with deep experience in developing data driven solutions and expertise in conventional and state of the art Machine Learning (ML) and AI technologies. As part of our team, you will be working side-by-side with high-impact data scientists and strategic customers to solve complex problems. You will communicate trends and innovative AI solutions to stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program management to deploy business solutions.

Our team prides itself on 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 billions around 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 Technical Oversight

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

Defines and communicates the technical direction and strategy for the team and the project. This involves understanding the project goals, industry trends, and technical delivery context, guiding decision-making, ensuring a focused approach, and alignment with business objectives.

Provide technical guidance, and suggest best practice, and drive team agreements related to best practices. Offers support to team members as and when required.

Ensures the quality of the project deliverables is of the required standard. This involves creating clarity on expected standards, and overseeing the implementation to ensure they are adhered to.

Data Preparation and Understanding

Performs, and oversees, extensive exploratory data analysis on large and complex datasets to identify patterns, trends, and relationships, and ultimately generatehigh quality data and relevant hypotheses.This process involves applying statistical techniques such as hypothesis testing and regression analysis, as well as performing data cleaning, preprocessing, and addressing missing data, outliers, and anomalies to ensure high data quality and reliability.

Experimental design and hypothesis testing

Develops and appliesML/AI techniques and best practices for reliable, scalable, and ethical data driven solutions. This involvesdevising experimental methodologies and implementing hypothesis testing to investigate the viability and credibility of novel concepts and modifications.

Evaluation

Collaborate with stakeholders to understand the specific objectives and goals of project, and aid in designing a formal way of evaluating the systems’ performance against these. This may involve identifying key performance indicators (KPIs) and metrics that align with the organization’sobjectives andidentifying associations between these and the classical performance indications for models used in the system.

Industry and Research Knowledge/Opportunity Identification

Provides feedback, drives improvement, and shares knowledge in Industrydata science.

Coding and Debugging

Writes, reviews, and debugs code for complex projects and leads solution development.

Business Management

Leads data-science partnerships and IP improvement.

Customer/Partner Orientation

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

Responsible AI

Adheres to Microsoft’s AI Customer Commitment

Other · Embody our culture (https://careers.microsoft.com/us/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values)

Qualifications

Required Qualifications:

Doctorate 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)

OR Masters 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 Bachelors 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.

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

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 Masters 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 Bachelors 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.

Demonstrated industry knowledge in one or more of the following sectors: Automotive, Mobility and Transportation [AMT] / Manufacturing and Supply Chain [MSC] / Energy and Sustainability [ENS] and Media and Communications [MNC]

5 years people-management experience.

Data Science M5 – The typical base pay range for this role across the U.S. is USD $133,600 – $256,800 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 $173,200 – $282,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft is an equal opportunity employer. Consistent with applicable law, 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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .