Data Science Manager

Conde Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Conde Nast Traveler/Traveller, Allure, AD, Bon Appetit and Wired, among others. Conde Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.

Job Description

Location:

New York, NY

Data Science Manager wanted by media company in New York, New York.

Manage a team of 3 Data Scientists to deliver models for initiatives such as recommender systems, NLP, segmentation, and user behaviors. Conduct technical work in machine learning engineering and/or data science. Build and design ML models and components that solve business problems while working in collaboration with product teams.

REQUIRES: Master's degree in Analytics or closely related field and 1 year of experience in the job offered or in Data Science. Requires 2 years of experience with statistical analysis and programming languages (R / Python), experiment design and A/B testing using machine/deep learning and 1 year of leading projects/teams in machine learning and data science.

Salary range from $163,238.00 to $212,864.00 per year.

Send resume: HR, Attn. Naomi Castillo, 34th floor, Advance Magazine Publishers Inc. dba Conde Nast, 1 World Trade Center, New York, NY 10007 or apply online at Conde Nast - Careers (condenast.com).

Refer to job code: R-14108

What happens next?

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Conde Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.