Microsoft Data Scientist Interview Guide

As the creator of the Microsoft 365 productivity suite, Windows operating system, Azure, and much more, Microsoft is rightfully one of the world’s leaders in computing technology. Behind each of these robust products are complex AI and machine learning solutions put together by hard-working data scientists and engineers.

If you’re passionate about leveraging data and advanced analytics to drive innovation, a data scientist (DS) role at Microsoft could be a great fit for you. In this guide, we explain how data scientists are at the core of Microsoft’s mission, and how to prepare for the role’s unique interview loop.

What does a Microsoft DS do?

Data science at Microsoft represents the intersection of deep technical expertise and strong communication skills. Although the specifics of day-to-day responsibilities vary depending on team and seniority, all data scientists must be ready to participate in customer/partner orientation and business management as well as data preparation, ML framework modeling, statistical analysis, and more. This makes it a great role for individuals who are technically savvy, but also interested in collaborative work with multi-disciplinary teams.

Machine learning and AI at Microsoft take form in a variety of ways, which reflects the size of the company and its breadth of projects. For example, Microsoft’s cloud computing program Azure depends on AI infrastructure and ML models. However, ML and AI go far beyond Azure and are woven throughout the company in cloud-based solutions, customer service, user security, and more.

Data scientists focus on projects and perform tasks specific to their team.

A few examples:

• A DS on the Industry Solutions Engineering team can expect to spend time working on generalist projects that tie business understanding and impact to machine learning solutions to drive Microsoft market value and deliver solutions that resonate with both customers and stakeholder partners.
• Meanwhile, a DS on the Release and Delivery Experiences team focused on delivering Copilot updates is dedicated to a long-term, specific venture that is on the forefront of AI innovation.

While these roles are under the same umbrella of data science and may use similar skills at times, the overarching needs vary depending on the team. As you consider potential DS roles, it’s important to review the details of each job description to find one that’s best suited to you.

What are the typical job requirements for a Microsoft DS?

Education: Data science is a role where formal education and credentials are essential at Microsoft. Due to the highly technical nature of the field, a PhD in one of the following fields is strongly recommended:

• Data science
• Mathematics
• Statistics
• Econometrics
• Economics
• Operations research
• Computer science

Some roles require only a master’s or bachelor’s degree, but the same skill sets are required regardless of education. If you don’t have a doctorate, it’s critical to make sure that your application stands out in other ways and that you have the relevant experience to be a strong candidate.

Experience: Microsoft wants data scientists with a passion for and expertise in data analysis. These roles tend to be ideal for mid-career data scientists, as most require around 5-10 years of experience.

Since Microsoft’s DS roles vary widely in their scope, we’ve included a few examples of requirements from recent job postings below. Here are the requirements for a principal DS working on the Industry Solutions team:

Required:

• PhD in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results)
• Customer-facing, project-delivery experience, professional services, and/or consulting background

Preferred:

• Experience working as part of geographically dispersed, diverse, and virtual teams
• Comfortability with travel up to 25% for various needs within the role
• Demonstrated ability to work with customers and collaborate across company and stakeholder boundaries

Notice the emphasis on project delivery and consulting experience. It’s quite different from the requirements for a senior DS working on the Release and Delivery Experiences team with a focus on Copilot:

Required:

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field (master’s or doctorate preferred but not required)
• 5+ years of data science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results)
• Strong foundation in Statistics, Computational Linguistics, and Natural Language Processing
• Proven ability to work in an ambiguous and fast-paced environment

Recommendations before you apply for Microsoft DS roles

• Know Microsoft. A strong working knowledge of Microsoft products can set you apart in a pool of applicants. Brushing up on Microsoft’s ML/AI ventures and being able to quickly and efficiently describe how Microsoft products interact with one another shows interest in the brand and general strength as a candidate.
• Prepare to pitch yourself. Microsoft recruiters hear from hundreds of candidates every day, so it’s essential to find a way to stand out. Prepare both written and verbal elevator pitches of varying lengths (30 seconds, 2 minutes, and 5 minutes are good benchmarks) that you can share with recruiters. Remember to be friendly and polite in your communication.
• Leaders communicate best. Data scientists at Microsoft are constantly interacting with diverse stakeholders, team members, and clients. Think about times when you’ve worked on a team, and prepare to articulate what you bring to a collaborative environment. Additionally, demonstrating that you’re able to explain AI concepts to non-technical audiences can help strengthen your application.

Interview Process

Microsoft’s DS interview loop is cleanly separated into two rounds:

• A virtual recruiter screening (30-45 minutes) that’s conducted over the phone or via Microsoft Teams. Candidates can expect to see culture fit behavioral questions and a resume review, alongside the possibility of a screen-shared live coding assessment.
• An interview loop of 45-minute rounds with prospective peers and HR managers. This involves a PhD presentation, as well as both behavioral and technical conversations.

Let’s go through these interview rounds step by step.

Recruiter Screening

The first stage of the Microsoft DS interview process is a short recruiter call (roughly 30-45 minutes) to see if you’re a good fit for the company. Expect a mix of standard behavioral questions, alongside preliminary technical tests.

Prepare to explain why you would be a good culture fit at Microsoft, and express interest in and familiarity with their product ecosystem whenever possible. From here, your recruiter will share additional insights on how the next interviews are structured.

Additionally, be prepared for a live coding challenge, especially if your interview is over Microsoft Teams and not a phone call. Your recruiter may share their screen and ask you to solve a relevant problem. This is not a guaranteed part of this interview, but if the specific role you’re applying for has stated technical requirements, it’s important to know that you’ll likely be assessed in those coding languages and/or ML frameworks.

Interview Loop

The final round of the Microsoft DS loop is a day of 3-5 interviews that may be onsite or virtual depending on location and the specifics of your prospective role. This is a chance for you to be assessed on your technical skill set, as well as your alignment with and passion for Microsoft.

Depending on their educational background, some candidates will be asked to start their day with a one-hour presentation of their PhD research. Your recruiter will let you know about this in advance. After that, expect 3-5 roughly 45-minute interviews with 10-15 minute breaks in between.

PhD Presentation

If you have a PhD, you may be asked to do a conversational presentation of your work. This is an opportunity for potential peers to assess the relevance of your specialty and your strength as a communicator. This hour-long interview is part presentation and part Q&A to open the floor to discussion. Be prepared for engaging questions and challenges.

In this interview, Microsoft is looking for:

• Confidence in articulating ML and coding concepts
• Ability to discuss previous academic engineering work
• Passion for the company's mission and vision

Whenever possible, try to link your academic work to Microsoft’s AI innovation and use of ML technology in its product ecosystems through brand storytelling. This is a great way to show your enthusiasm for the company. Share your technical process aloud and never be afraid to highlight diverse experiences in your life, as this can help you stand out as a more memorable candidate.

Technical

Skill assessments are the backbone of the Microsoft DS interview loop. Expect 3-4 interviews all about machine learning, AI, and SQL (if relevant for your role). These interviews are hosted by prospective teammates and managers.

The technical interviews are centered around your ability to solve problems quickly and efficiently. After all, data scientists must help keep Microsoft products running smoothly while also working collaboratively with different stakeholders and team members.

You can think of data scientists as somewhere in between machine learning engineers and product managers. A Microsoft DS must take the technical acumen of an MLE and the business management skill set of a PM to extract data and find patterns that affect business problems and the creation of AI/ML models and frameworks. This means knowing how to work directly with engineers, as well as the business side of teams.

In these interviews, Microsoft is looking for:

• Confidence in articulating ML and coding concepts
• Familiarity with Microsoft’s current use of AI in its product ecosystems
• Speed and efficiency in your problem-solving
• Ability to explain your reasoning behind the choices you make

Be prepared for challenging technical questions, but with the behavioral north star of “Why Microsoft?” The specificity of your assessments will vary depending on your prospective role, but general categories for technical questions include:

• ML fundamentals
• Algorithm design
• Data
• Coding
• Linear algebra
• Statistics and probability

Additionally, knowledge of natural language processing and deep learning is a huge plus.

Here are some technical questions you can expect:

Explain multithreading.

Asked at Microsoft, Nvidia 

View 3 answers

Find the longest substring without repeating characters.

Asked at Microsoft, Apple, Intuit + 6 more 

View 36 answers

Find the number of rotations in a circularly sorted array.

Asked at Microsoft, Visa 

View 15 answers

Explain the differences between stack and heap memory allocation.

Asked at Microsoft, Apple 

View 2 answers

How would you store a list of numbers as a single number?

Asked at Microsoft, Atlassian 

View 14 answers

Additionally, candidates who have been through this interview suggest using the LeetCode 75 Essential and Trending Problems to practice for the interview, as they align very well with the contents of the technical principles and methods assessment.

Past candidates report that in this interview, they were asked about their experience with Azure and cloud computing. Make sure you have familiarity with Azure before interviewing with Microsoft, especially if your prospective role is part of Microsoft’s current AI/ML innovation ecosystem.

Behavioral

Alongside the technical interviews, expect 1-2 behavioral conversations during the loop. Microsoft is looking for community leaders who show the following four key work practices:

• Technical excellence
• Collaboration
• Drive for results
• Adaptability

While technical excellence is essential, it cannot exist in a vacuum. Microsoft seeks prospective team members who shine on multi-functional teams and can work with a variety of different roles effectively. As a data scientist, it’s essential to be able to communicate your findings and recommendations with diverse stakeholders and teams.

Be prepared to go through your past experiences and articulate specific examples of collaboration and solution-building. When asked about previous work, always explain your thought process and talk through your decision-making. Highlight your diverse experiences, and don’t overly rely on one particular project or work environment.

In these interviews, Microsoft is looking for:

• Exceptional culture fit within Microsoft and your specific team
• Ability to effectively discuss past experiences, both positive and negative
• Passion for topics relevant to your role
• Articulation of your technical skill set in straightforward language

Through the STAR Method, as recommended by Microsoft, you can answer behavioral questions in a time-conscious but comprehensive way.

These interviews are generally hosted by HR managers, and may include hiring information depending on your situation. Make sure to have prepared questions you have about Microsoft to ask, as this is a great time to express interest in a conversational, non-technical setting.

Additional behavioral questions at Microsoft include:

Tell me about a time you used your analytical skills to solve a complex problem in a creative way.

Asked at Microsoft, Amazon 

View 8 answers

Talk about your toughest project and how you would improve it.

Asked at Microsoft 

See question

Tell me about a time you helped someone else succeed. Have you ever succeeded because of someone else's help?

Asked at Microsoft 

View 2 answers

Tips and Strategies

As a massive company that’s interviewed and onboarded hundreds of thousands of candidates, Microsoft has shared many of its own hiring tips about what makes a candidate stand out.

Microsoft prides itself on a strong sense of culture and achievement, and encourages prospective hires to engage with the product ecosystems before applying to develop a passion for and literacy in Microsoft products. Additionally, Microsoft lists a set of core competencies that drive its product vision:

• Collaboration. Communicating effectively within the team and across teams.
• Drive for results. Working tenaciously to deliver on commitments, constantly seeking bigger challenges, holding yourself and others accountable.
• Customer focus. Our mission at Microsoft is to empower every person and every organization to achieve more.
• Influencing for impact. Successfully persuading and influencing others with effective communication.
• Judgment. Effectively scoping complex problems and using business acumen to make knowledge-based decisions.
• Adaptability. Ability to deal with ambiguous and uncertain situations or problems with agility.

Product vision is important, but Microsoft also seeks candidates who are driven by a desire to build a strong internal company culture. Below are its organizational values:

• Growth mindset. True learners who can acquire new skills rapidly and connect with others to help bring big ideas to life.
• Diverse and inclusive. Being open to learning about your own biases and changing behaviors accordingly. Value differences, seek them out, and invite them in.
• One Microsoft. Actively seeks collaboration with others and looks for common ground across differences, contributes to and builds on success of others, and prioritizes for customer and team within their role.
• Customer obsession. The ability to learn about customers' perspectives, show empathy to their experiences, and incorporate these insights into their decisions and deliverables.
• Values. When we come together, we treat each other with respect, we act with integrity, and we are accountable to one another for our words and actions.
• Manager expectations. Our managers help bring our culture to life. As they model, coach, and care, they help reinforce our culture and create an environment where everyone can do their best work.

Additional Resources

• LeetCode 75 Essential and Trending Problems
• Microsoft Behavioral Question Database
• Microsoft Careers Site
• Azure Machine Learning
• Microsoft Events

FAQs

• Does Microsoft offer internships? Microsoft has a highly competitive internship/recent graduate program that offers early-career research opportunities for data scientists.
• Can I interview again if I’m rejected? Yes, Microsoft encourages candidates to reapply a minimum of 6 months after their rejection if they see a different position that is a good potential fit for them.
• What is Microsoft’s mission statement? Microsoft’s global mission is “to empower every person and every organization on the planet to achieve more.” Learn more about the company’s vision, culture, and stories.