Why Attend the AI Plus Career Lab Event?

GET CAREER-ADVANCING TIPS IN DATA SCIENCE & AI

  • Stay Relevant

    Gain a foothold or advance your career in data science. Hear from industry professionals on how to gain a competitive advantage and stay on top of the ever-changing job market.

  • Advance Your Career

    You have the perfect opportunity to virtually connect with our community of career experts, speakers, and other data science enthusiasts to learn about the hiring environment.

  • Gain Actual, Usable Knowledge

    Our talks focus on current trends and hot topics. We strive to keep our audience up-to-date on the most relevant areas in Data Science and AI.

July 28, 2020 9:00AM EST:

AI Plus Career Lab

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Featured Speakers

MEET YOUR DATA SCIENCE CAREER MENTORS

Schedule Overview

  • Hugo Bowne-Anderson, Ph.D., Data Scientist, Coiled; 9:00 AM-9:40 am

    Session Title: Data Scientist, or the Most Dangerous Job of the 21st Century View Here: https://attendee.gotowebinar.com/register/2989267959610990352 Session Overview: “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.

  • Ashley Odom, Principal - Data Scientist, 1nformatics; 9:45am - 10:25 am

    Session Title: How to be a data science consultant View Here: https://attendee.gotowebinar.com/register/2937738247663712016 Session Overview: 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.

  • Aleksandar Tomic, PhD, Associate Dean for Strategy, Innovation, and Technology | Program Director, MS in Applied Economics, Boston College; 10:30am - 11:10am

    Session title: New Job, New Domain, Now What? Join Here:

  • Sheamus McGovern, Founder & CEO, ODSC; 11:15am - 11:55 pm

    Session Title: How to build a better resume! View Here: https://attendee.gotowebinar.com/register/7872937970378190608

  • Wendy Chih-wen Kan, Head of Data Science at Kaggle (part of Google), Kaggle; 12:30pm - 1:10pm

    Session Title: How to build business impact and value as a data scientist Overview: 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.

  • Patrick Prothro, Data Scientist / Senior Analytics Engineer, Netflix; 1:15pm - 1:55pm

    Session Title: Ok...now what do I do?(How to navigate the Data Science field as a new employee) Session Overview: 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.

  • Juan Manuel Contreras, Ph.D., Data Science Manager, Uber; 2:00pm-2:40pm

    Session Title: How to Lead Data Science Teams: The 3 D's of Data Science Leadership Session Overview: 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.

  • David Meza, Senior Data Scientist, NASA; 2:45pm - 3:25

    Title: New Job, New Domain, Now What?

  • Dan Wulin, PhD, Head of Data Science & Machine Learning, Wayfair

    Session title and overview coming soon!

12:00 pm - 12:30 pm; AI+ Training & AI+ Career Services Booth Visitation

Who should Attend?

Categories

  • Professionals with 2-8+ years of experience
  • Those trying to decide on the right path
  • Individuals seeking new skill set advice and guidance

Job Titles

  • Data Scientist
  • Data Engineers
  • ML Engineers
  • Software Engineers
  • Career Switchers
  • DS Managers
  • DS Team Leads


AI Plus Recruitment

Get Matched with Our Career Partners

How does it work?

  • 1. Upload your resume

    Simply upload your resume and details to our job portal.

  • 2. Employer finds candidates

    Our matching engine pairs you with top companies hiring data scientists and related roles.

  • 3. Get contacted directly

    Employers can contact a suitable candidate by using the portal to send their info and job description details

WHAT IS AI+ TRAINING?

  • Get the skills you need

    You can use AI+ training to work on your skills from anywhere. AI+ training is giving you the opportunity to elevate the most needed skills in data science & AI market with our live and on-demand training.

  • Learn from world-renowned data scientists

    Learn in small groups from the best experts in the field. Have the opportunity to connect with your instructor and get answers to all your questions.

  • Certification

    After successfully completing the course, you will receive the certification of completion. Use the certificate as an evaluation of your skills.