26 September 2018
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.
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.