Past Meetup

Navigating Data Science at a Startup

This Meetup is past

131 people went

General Assembly

902 Broadway, New York, NY, 10010 · New York, NY

How to find us

Please be sure to sign up on the GA link as well:

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Dataiku is joining with General Assembly & ACM to discuss how to find your place as a data scientist at a startup. Please RSVP both on Meetups and the GA site here:

Tentative Schedule:
6:30pm: Pizza + Beer
7:00pm: Doing Data Science Successfully: Dreaming big at a startup or starting at a massive corporation with Yashas Vaidya, Data Scientist at Dataiku
7:30pm: Navigating Data Science at a Startup with Lisa Burton, Executive Director of HearstLab & Kishau Rogers, Founder & CEO of Time Study

Doing Data Science Successfully:
Data Science, ML and AI and/or advanced analytics are initiatives taking place at every company whatever their size. Whether they're data-driven startups or large companies just starting up their advanced analytics, everyone is doing it. These initiatives are often seen as the path to ensuring success in promoting or preventing disruption. Unfortunately, many of these initiatives face obstacles, because they are not embedded within various levels of the organization. This talk will discuss what it means for data science to be embedded within an organization, common failures without such embededdness and steps to ensure success. It will cover lessons learnt from experience working with organizations large and small that are building and deploying complex data-enabled, ML-powered and AI-driven data products.

Navigating Data Science at a Startup:
Startups are agile and can move quickly, but often don't have significant historical data or many users generating new data. So what does "data science" at an early-stage startup look like? How does it change as the startup grows? What should you ask before joining a startup as their first data scientist?
Lisa Burton will discuss data science for startups, from the perspectives as both a founder and a data scientist. She'll then be joined by Kishau Rogers, the founder and CEO of Time Study, for a fireside chat to learn more about how Kishau integrated data into her product from day one and what she looks for when hiring her initial data science team.

Lisa Burton, PhD is the Executive Director of HearstLab, a community of early stage, women-led startups innovating in media, data and technology. HearstLab provides assistance with building teams and refining products, along with office space in their New York City offices. There, she meets with prospective startups and supports the portfolio companies in residence, including advising on data and data science. Throughout her career, Lisa has built and led data science programs at startups and as a consultant across diverse industries - from mobile payments to advertising to healthcare. Most recently, she cofounded a startup that leveraged data from social media to help brands understand and connect with their customers. Lisa came to data science from Mechanical Engineering, where she specialized in data-driven modeling and machine learning to predict the motion of swimming animals. She holds a PhD and SM from MIT and BSE from Duke. Are you the founder of a women-led startup? Visit or contact Lisa at [masked] to apply.

Kishau Rogers is the Founder & CEO of Time Study. Time Study's mission is to eliminate time sheets through machine learning and mobile technology to identify how employees spend their time, starting with health systems. Time Study is live with over 15,000 end users at health systems like NewYork-Presbyterian and Stony Brook Medicine. She is a serial entrepreneur with over 20 years of experience developing software for hospitals, and previously founded Websmith, Inc., creating software solutions for partners from health and wellness agencies to non-profits, and PeerLoc, a technology startup providing a location services platform for indoor and other GPS-denied environments. Time Study is hiring engineers and data scientists! Contact Kishau @ [masked]