Mark Secada is an experienced data scientist with a Bachelor of Arts degree in Mathematics from New York University. Notable positions include serving as a Senior Data Scientist at Function Health and previously at Tinder and Camber, as well as roles at The Wall Street Journal where significant contributions included developing a subscriber propensity model and visualizing audience data to enhance newsroom strategies. Early career experiences include a Data Science internship at Kisi and a Junior Data Analyst role at Dow Jones, where analytical skills were applied to understand traffic impacts related to content paywalls.
Location
New York, United States