Data Scientist Manager - DaVita : Job Details

Data Scientist Manager

DaVita

Job Location : New York,NY, USA

Posted on : 2025-06-26T01:40:52Z

Job Description :

Conde Nast is a global media company producing high-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.

Job Description

Location: New York, NY

Position: Data Scientist Manager

Overview: We are seeking a Data Scientist Manager to lead a team of 6 data scientists. The role involves conducting technical work in machine learning engineering and data science, building and designing ML models to solve business problems, collaborating with product teams, managing cross-functional workstreams, and influencing the DS/MLE roadmap.

Requirements:
  • Master's degree in computer science, data science, or related field
  • At least 4 years of experience as a Data Scientist
  • Experience in NLP, Deep Learning, Computer Vision
  • Proficiency with machine learning platforms such as TensorFlow, PyTorch, Spark, and Scikit-learn
  • Proficiency in Python
  • Experience applying machine learning to media use cases
  • This position requires 4 days per week in the office
Compensation:

$170,373 per year

Application Process:

Send your resume to 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.

Next Steps:

If interested, apply below. You can update your resume or upload a cover letter anytime via 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, or other legally protected characteristics.

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