Educads publishes fully funded scholarships, Internships, Free online Courses , Job opportunities for all from around the world.

Microsoft, Data & Applied Sciences Internship Opportunities, USA-2022

Job description

Every year, we welcome thousands of university students from every corner of the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.
At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. The internship is designed not only for you to do great work with the opportunity to learn and grow, but to experience our culture full of diverse community connections, executive engagement, and memorable events.  
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.
Are you ready to join us and create the future? Come as you are, do what you love—start your journey with us today!
• Some experience and or project course work performing data analysis and applying statistics working with tools such as Excel, R, MATLAB, AMPL, or SAS.
• Some experience and or project coursework with product and service telemetry systems.
• Some A/B Testing or experimentation (this can be from conducting real-life science experiments, hypothesis testing in stats, etc.) Not required but ideal.
• Some experience or course work applying basic ML to a type of data and or using algorithms to conduct experiments on data. Machine Learning is strongly encouraged.
• Passion to learn from your peers, manager, and other stakeholders in the Data Science domain.
• Ability to interact with peers and stakeholders to drive product and business impact.
• Strong interpersonal and communications skills.
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 reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
The salary for this internship in the state of Colorado is $8,600 per month.
Benefits/perks listed here may vary depending on the nature of your employment with Microsoft and the country where you work. US-based interns gain access to healthcare benefits and software discounts.
As a Data Scientist intern, you will formulate approaches to solve problems using well-defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose the applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data Scientist, you will also engage 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.

Log In

Forgot password?

Forgot password?

Enter your account data and we will send you a link to reset your password.

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

Here you'll find all collections you've created before.