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Center for Careers & Internships

Center for Careers & Internships CENTER FOR CAREERS & INTERNSHIPS

UpNext: Careers in Data Analytics for Liberal Arts - What do Data Scientists Do and the Ethics of Data Analytics

Sponsored by:
Center for Careers & Internships
Jay Yonamine ‘07 (Political Science), Head of Data Science Ops, and Quality, Global Patents with Google will talk about what a data scientist does, skills that are important to the role, and how advanced degrees play into this career path. He will also speak about the role of Data Ethics in this space.

Adirondack Coltrane Lounge

UpNext: Careers in Data Analytics for Liberal Arts - Alumni Panel Discussion

Sponsored by:
Center for Careers & Internships
When it comes to data analytics, it is everywhere and used in a variety of industries and career roles. The panelists will talk about this growing variety, its appropriateness for many different majors, and how the liberal arts support careers in this space. Hear from a panel of Middlebury alumni with a variety of backgrounds who now have careers across a wide spectrum utilizing data analytics.

 

Moderated by: Alex Lyford, Assistant Professor of Mathematics, Middlebury

 

A Conversation With:

 

McCardell Bicentennial Hall 220

UpNext: Careers in Data Analytics for Liberal Arts - Data Visualization

Sponsored by:
Center for Careers & Internships
Kelsey E. Hoekstra ‘17 (Mathematics), a Data Analyst with Vanguard speaks about how to communicate data to non-analytic practitioners. Building cool analytics is only part of the work. If no one understands the data or why it matters, it will not be used. Kelsey will be sharing best practices for visualizing and sharing data with business partners and colleagues.

Adirondack Coltrane Lounge

UpNext: Careers in Data Analytics for Liberal Arts - Interpretability and Fairness in AI

Sponsored by:
Center for Careers & Internships
Daisy Zhuo ’12 (Mathematics), Co-Founding Partner at Interpretable AI will discuss the importance of interpretability and fairness of machine learning methods in real-world settings. The discussion will compare classical machine learning methods including regression, decision trees, ensemble models, and deep learning as well as explainability tools such as Lime and SHAP. Daisy will also introduce some cutting-edge research such as Optimal Decision Trees pioneered by her co-founders at MIT that bridges the gap between interpretability and performance.

Adirondack Coltrane Lounge

UpNext: Careers in Data Analytics for Liberal Arts - Product Management – Data Analytics Intersects With Liberal Arts

Sponsored by:
Center for Careers & Internships
Stefan Claypool ‘09 (Chinese, Economics), Senior Product Manager at PayPal, will provide an overview of the crucial role of a product manager with a specific focus on how data can drive decisions with real product and business impact. Of all major tech industry disciplines, product management is in many ways the best fit for liberal arts students, because it demands a truly multidisciplinary approach to problem solving. In this session, he will discuss his past work as a market intelligence analyst, leveraging data insight and analysis to build strategic cases as part of a marketing org.

Franklin Environmental Center, The Orchard-Hillcrest 103

UpNext: Careers in Data Analytics for Liberal Arts - Business Intelligence in a Media Company

Sponsored by:
Center for Careers & Internships
Christopher Whitely ‘95 (Literary Studies), Senior Director, Research and Data. with Comcast/Freewheel will speak about his role in business intelligence within this media company, why it’s important, and the power of modern analytics. This will include covering the skills and knowledge sets, both formal and informal, that contribute to a successful career in Business Intelligence (BI), as well as what the regular responsibilities and work of a BI Analyst at a larger media company include.

Franklin Environmental Center, The Orchard-Hillcrest 103

UpNext Consulting: Presentation Case Interview

Sponsored by:
Center for Careers & Internships
Chris Bernene ’90 and Kevin Benscheidt ’17 of Oliver Wyman will discuss an emerging interview method, “Presentation case” interview as part of the consulting recruiting process. It involves getting some information, having ~30 minutes to review it and think about it, and then ~30 minutes to lead a discussion with a couple of consultants about it. Interview candidates have to be efficient in analysis, clear in thinking, and be able to discern the key points for discussion.

Axinn Center 229

UpNext Consulting: Economic Consulting Case Study

Sponsored by:
Center for Careers & Internships
Wei Wei Magnuson ’16 of Analysis Group will focus on an example case study to demonstrate how advanced programming and statistical tools are used in economic consulting to draw insights from big data. If you are excited by coding, data visualization, and problem solving.  Bring your questions.