Data Science Intern

Overview

Every year, we welcome thousands of university students from around the the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.

We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.

Data Scientists at Microsoft use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms, and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.

Those hired into this role are invited to participate in the Microsoft Aspire Experience, a two-year learning and development program in which you'll build your network, cultivate intentional capabilities, and gain perspective into the career opportunities across Microsoft’s many exciting businesses.

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

Program Start Date: June of 2024.

Length: 12 weeks, full-time.

As a Data Scientist you will:

• Formulate approaches to solve problems using well defined algorithms and data sources
• Incorporate an understanding of product functionality and customer perspective to provide context for those problems
• Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data
• Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve
• Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
• Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results

Qualifications

Required/Minimum Qualifications

• Be enrolled in a bachelor's or master's degree in engineering, computer science or related field.
• Must have at least one additional quarter/semester of school remaining following the completion of the student worker program.
• English language fluency.
• Full Work-Authorization in Serbia.
• Have solid problem-solving skills.

Preferred Qualifications:

• Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.
• Experience using one or more programming or scripting language to work with data such as: Python, Java or C# etc.
• Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.