Data Scientist Manager

Condé 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, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Job Description

Location:

New York, NY

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

Manage a team of 6 data scientists; 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; manage a cross-functional workstream; Influence the DS/MLE roadmap.

Requires: Master’s degree in computer science, data science, or related field, and 4 years of experience as Data Scientist. Requires 4 years of experience in advanced data science (NLP, Deep Learning, Computer Vision), machine learning platforms including Tensorflow to train deep learning models, Pytorch for fine tuning deep models, casual frameworks such as CausalML for uplift modeling, Spark and Scikit-learn, and proficiency in Python, and applying machine learning to media use cases.  

This position requires 4 days a week in the office.

Salary: $170,373 per year.

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

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.

Condé 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.