Data Science at Microsoft Info Session

On behalf of UC Berkeley Division of Data Sciences, Statistics Undergraduate Student Association (SUSA), the Data Science Nexus, and Microsoft  – we’d like to invite you to the second Data Science Career Talk. Come listen, learn and meet in person some of Microsoft’s Data Scientist from our Artificial Intelligence, Cloud & Enterprise, Windows Devices Team and more.

If you are interested in attending this event, please register here: http://bit.ly/2Gngj4X

Facebook Event Link: https://www.facebook.com/events/1879172945716732/

When: Tuesday, March 20th   

Where: Hearst Field Annex B

Time: 6 - 7:30 PM

Agenda:

Join us for an engaging panel with some of Microsoft’s leading Data Scientists discussing what it’s like to work in the field of Data Science at Microsoft!

 

Panelists

Barbara Stortz - Principal SW Manager for Data Science

Eren Manavoglu – Partner Science Manager

Keng-hao Chang - Principal Applied Scientist Manager

 

Moderator

Peter Sujan – Data Scientist / Software Engineer

Following the panel – if you would like to explore future internship and or full-time Data Scientist opportunities at Microsoft there will be a networking session/job fair. Come engage directly with Data Scientists at Microsoft, learn about exciting advancements in the field and how your interests align.

Opportunities for Data Scientists—one of today’s hottest jobs—are rapidly growing in response to the exponential amounts of data being captured and analyzed. Microsoft looks to hire Data Scientists to find insights and to solve meaningful business problems.

We are looking for highly motivated and passionate Data Scientists to apply rigorous scientific methodology and algorithms to data in order to improve Microsoft’s devices, operating systems, and services. We provide unique insight into business and customer scenarios that cut across organizational boundaries and are leading the growth of a data-driven culture within Microsoft.

We are interested in people with diverse multi-disciplinary backgrounds, engineering and analytical skills, ruthless curiosity, and the motivation to improve product quality with data. If you consistently use data to improve the world around you and have the energy and flexibility to help us build a world-class team, come join us to change the world of computing.

 

We look forward to meeting you!