Join us for a night of cocktails and networking, where you’ll meet each of our graduates in person and chat more about their exciting projects. ***The event is for employers and NYC Data Science Academy recent graduates and alumni only.*** Over the course of 12-week intensive data science program, our students become proficient data scientists using R, Python, Hadoop & Spark, Github, and SQL as well as the most popular and useful R and Python packages like TensorFlow, dplyr, tidyr, ggplot2, Pandas, Scikit-learn, Seaborn, and more. Students can demo from their four projects that use techniques from visual and statistical analyses to supervised and unsupervised machine learning algorithms. Rigorous training of stellar candidates leads to a highly talented pool of candidates for your data science needs! This is an opportunity for you to meet some great talent for your company. Students come to NYC Data Science Academy with a variety of industry backgrounds, and over 70% hold advanced degrees (Masters or PhD). We do NOT charge a recruiting fee, which is one of the many things that sets us apart. Join the pool of other great companies that have hired data scientists from the NYC Data Science Academy bootcamp, including: IBM Watson, BOSCH, Spotify, Nielsen, WorkFusion, JP Morgan Chase, Bloomberg, Goldman Sachs, Morgan Stanley, Booz Allen Hamilton, Finra, BNY Mellon, Memorial Sloan Kettering, Aetna, MD Anderson Cancer Center, Mount Sinai Hospital, Medivo, Boston Scientific, Mindshare, Verizon, Ladders, O’Reilly Media, Earnest, NYC Dept of Finance, Nuance, Unified, Cognizant, IHeartRadio, Uptake, Hearst, Ascap, Splash, Basho Tech and Ameritas Group, Elasticiti (NBC Universal), KickStarter, Balyasny Asset Management LP, Dashlane, 2U, CKM Advisors,Barclays Bank, CapitalOne, Cota Health Care, Lincoln Financial service and more. Event Details: Once you arrive and register at check-in, you'll receive a student resume book featuring each of our recent data science graduates. The focus of this networking event is to provide an informal environment for you to meet our students and to facilitate learning about their skills and background. Yummy food and wine will be served! What Happens After the Event: After the event, you will receive an electronic version of the resume book. We are more than happy to facilitate phone interviews, code challenges, and onsite interviews on our campus or in your office. We will also be collecting feedback from you to better understand your data science staffing needs. We also encourage you to reach out to students directly. Questions? Email Vivian Zhang, CTO: [email protected] Whether to discuss your current job posting or just get acquainted, we can set up a phone call to chat more about how we can assist you. My email is [email protected] and cell phone is 650-714-7952. Please feel free to email me or call me! For more information, visit: http://nycdatascience.com/data-science-bootcamp/ Special Thanks to Industrious: Industrious is a premium workplace platform, blending five-star service and stunning design to provide an unparalleled workplace experience for established professionals. Businesses need great work environments in order to grow and succeed but very few are actually able to execute on this core necessity due to complicated, opaque and expensive processes. With more than 20 locations across the country, built on the principle of providing people the hospitality and design in the place they least expect it, the Industrious team is driven by making people excited and proud to go to work. Industrious members come from diverse industries including creative agencies, growing start-ups, and professional services firms in real estate, finance and legal. As the premier coworking platform that caters to SMBs and the Fortune 500, outsourcing workplace solutions to Industrious gives companies a better, more flexible office space than they can create on their own. Learn more at http://www.industriousoffice.com.
https://www.eventbrite.com/e/data-scientist-employer-networking-event-tickets-43026991891?aff=ebapi
Type: Eventbrite