After being named sexiest job of the 21st Century" by Harvard Business Review, data science has blended the enthusiasm of the overall population. Numerous individuals are fascinated by the job and can't help thinking about how they themselves can become data scientists. There are endless tools, courses, and applications for people to learn data science, however, let's be honest: for somebody new to the field, every one of these options can appear to be a jungle of complex information.

Microsoft has been a major player in the data science industry after Azure and it's machine learning tools have been gradually ruling as the biggest service provider in the cloud-computing market. Therefore, Microsoft has been working out its data science team gradually in recent years to get one of the greatest companies hiring for data scientists.

Microsoft, being an enormous organization with more than 100,000 employees, has different teams, each with its own data scientists (part of the Data and Applied Sciences discipline). The roles and duties vary, however, there are shared occasions that unite many (e.g., there is an internal annual Machine Learning, Analytics & Data Science Conference, and Analysis & Experimentation group holds a semi-yearly meeting called OneAnalyst).

Team Environment at Microsoft

Team environment at Microsoft is incredibly collaborative. Many individuals originally imagined working in a company and in being in a desk area. It's the exact opposite of that. Employees at Microsoft have to continually team up with their associates, answer questions, and perhaps in an hour do a tech review. It involves a lot of emailing, meetings, talking, and scheduling the short/long term goals. It's an exceptionally relentless work environment.

Roles and Responsibilities

Data scientists at Microsoft should be able to identify a business or engineering problem and make an interpretation of it to a data science issue, uncover sources of information, lead the analysis that would uncover valuable insights, and help engineering teams to operationalize the solution.

They are also required to partner with a wide range of engineers and program managers to deliver solutions utilizing telemetry.

The data scientists get a wide introduction to countless key products at Microsoft from Bing to Office to Skype. They are oversubscribed and have to prioritize their work dependent on a few elements, for example, expected long-term value to Microsoft.

Qualifications Required

• Master/Bachelor's degree in Machine Learning/Data Science, Applied Statistics, Mathematics or Engineering.

• 3+ years hands-on involvement in data science, Deep Learning/Machine Learning, Big Data experience and analytics in a business setting.

• Worked with analytical programming languages, for example, R or potentially Python.

• Experience in deep learning frameworks, for example, PyTorch and TensorFlow will be beneficial.

• Good hold on deep learning ways to deal with object recognition and segmentation.

• Great visualization and presentation skills, ability to communicate findings and proposals to key chief and heads.

Types of Interviews

Initial Screening

This will be a telephonic interview of around 30 mins to understand your background and projects you've worked on. You'll also be asked a few technical interview questions.

Technical Screening

In technical screening, the hiring manager will schedule a technical screen with a Microsoft data scientist. By and large this round is for 45 minutes to an hour and intended to test pure technical skills and how well you can code and explain your perspective.

The technical screen comprises around three unique questions covering the subjects of algorithms, SQL coding, and probability and statistics.

The Onsite Interview

The onsite interview comprises an entire day occasion from 9 am to 4 pm. You will meet with five diverse data scientists and go on a lunch meet too.

This is what the interview board for the most part resembles:

• Data structures and algorithms

• Probability and statistics

• Hiring manager and behavioral interview

• Modeling and machine learning systems

• Data manipulation

Another important spotlight for Microsoft is on communication, since the data science group at Microsoft has associations all through the organization to guarantee the team is accomplishing valuable work.

Microsoft Professional Degree (MPD) Program

In the same way as other jobs in the tech business, there are more open data scientist positions than qualified candidates to fill them. That's a shortage you can work for your potential benefit—and some tech businesses would adore nothing better. Microsoft has launched an online certification program pointed toward getting more qualified data scientists into the job market. Called the Microsoft Professional Degree (MPD) program, it's intended to offer employer-endorsed, university-caliber curriculum for experts at any phase of their career.