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?

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.

We are hiring a Data Scientist 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!  

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

• 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 generate high 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.
• 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’s objectives and identifying 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 as an Industry data science expert.

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

Culture and values

• Embody Microsoft’s culture and value as the foundation of how we operate

Qualifications

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND some 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 several 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 several years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• People-management experience.

Additional or Preferred Qualifications

• · Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 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]

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!

At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done. 

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.  

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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