Data Scientist II

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.

Location:

About the Company: CondéNast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting over 100 million consumers across its industry-leading print, digital, and video brands.

Condé Nast is home to many of the world's most celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Condé Nast. Our mission is not only to inform readers but to ignite and nourish their passions

About the Role: As a member of the Data Science and Machine Learning Engineering (DS/MLE) team, you will be the technical expert for a team that builds models for initiatives such as image recognition, recommender systems, NLP, segmentation, and user behaviours.

Responsibilities:Responsibilities include, but are not limited to:

• Participate in model design, testing, and execution
• Work closely with data engineers and machine learning engineers to deliver products and analyses
• Develop advanced machine learning algorithms and proof of concepts
• Experiment and Innovate in applications of machine learning to Conde Nast’s Business problems
• Provide technical expertise to junior team members

Minimum Qualifications:

• Applicants should have a degree (B.S. or higher) in technical discipline or relevant professional experience
• 4-7 years of machine learning experience in industry or academia
• Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.), Computer Vision strongly preferred
• Experience in statistical analysis and experiment design
• Software development skills with proficiency in Python
• Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn
• Strong communication skills including to non-technical audiences
• Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team

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.