ODSC West
October 27th – 30th, 2020
Data Science Virtual Training
Conference & Expo
Save 60% | EARLY BIRD ends Soon
Past Sessions
Past Session
Data Scientist, or the Most Dangerous Job of the 21st Century
Current Speakesr: Hugo Brown-Anderson, Head of Data Science, Coiled
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Past Session
How to be a data science consultant
Current Speakesr: Ashley Odom, Principal Data Scientist, Informatics
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Past Session
Picking The Right Program: Formats, Credentials, and MOOCs, Oh my!
Current Speaker: Aleksandar Tomic, PhD, Program Director MS in Applied Economics Boston College
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Past Session
Resume Guidance
Current Speaker: Sheamus McGovern, Founder & CEO, ODSC
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Past Session
How to build business impact and value as a data scientist
Current Speaker:
Wendy Chih-wen Kan, Data Scientist Kaggle (Apart of Google)
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Past Session
Ok…now what do I do?(How to navigate the Data Science field as a new employee)
Current Speaker: Patrick Prothro, Data Scientist/Senior Analytics Engineer, Netflix
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Past Session
How to Lead Data Science Teams: The 3 D’s of Data Science Leadership
Current Speaker: Juan Manuel Contreras, PhD, Data Science Manager, Uber
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AGENDA
Talk, 40 Minutes
“Data scientist” has been called the sexiest job of the 21st Century but it’s well on its way to becoming the most dangerous: the state of the art is a collection of siloed, ad hoc techniques developed to solve important and interesting challenges without a robust, principled approach. To paraphrase Michael I. Jordan, we are building dangerous, planetary-scale inference-and-decision making systems without a sufficiently stable engineering discipline, just as people built bridges and buildings, many of which fell before there was civil engineering. In this talk, we’ll delve into how we got where we are today, what types of large-scale systems we’re building in medicine, information technology, finance, transport and society at large, and paths forward.
Talk, 40 Minutes
Do you thrive by helping people solve problems without being in the spotlight? Do you like to manage your own time and priorities? Can you accommodate some risk and income fluctuations? If so, consulting might be a rewarding career path for you. I’ll share stories about my journey to data science consulting and offer advice for those that want to pursue independent consulting, now or in the future.

Talk, 40 Minutes
Whether you are trying to break into data science or advance within the field, main question is how to prepare for the next step. Given the proliferation of options for education in data analytics and data science, it is not easy to choose the right program to help one achieve his/her goals. Credit vs. non-credit; degree vs. non-degree; online vs. face-to-face vs. hybrid; quick vs. protracted are all questions facing those that want to further their education. In this session, I will help you learn what questions to ask of different programs in order to determine the best fit for YOU.
Talk, 40 Minutes
To be a good data scientist you have to have good data science skills. However, your impact and value as a data scientist comes from your ability that is non-technical.
In this talk, I’ll share Kaggle’s data science team’s story and lessons learned in my experience being a small (one-person) data science team.
Talk, 40 Minutes
Changing jobs regardless of the title is usually never easy. You need to form new relationships, understand the new culture, get a grasp of your job role and the list goes on. I believe starting somewhere new is especially difficult within the ever changing and always growing Data Science space, because expectations of your role can widely vary from company to company. As someone who has worked in several different industries, my goal for this talk is to give some key pointers that you can take with you anywhere to make the adjustment as seamless as possible.
Talk, 40 Minutes
Despite a growing demand for data science managers and the unique difficulties of managing data science teams, few resources exist to support aspiring and practicing data science leaders. This talk presents a framework that defines data science management and outlines three areas of competence needed to succeed as a data science leader: diplomacy, diagnosis, and development.
Talk, 40 Minutes
Data science is both an art and a science. Being able to conduct analysis and interpret results is half the battle. In order to be of value to an organization, the findings need to be articulated in a manner that can be understood by the decision makers. In this talk I will go over some of the top tips to make sure your hard work is understood and made actionable.