Data Scientist II

As a Data Scientist II in the Data Science and Machine Learning Engineering (DS/MLE) team at Condé Nast, you will be a technical expert building models for initiatives such as image recognition, recommender systems, NLP, segmentation, and user behaviors. Responsibilities include participating in model design, testing, and execution, collaborating with data and machine learning engineers, developing advanced ML algorithms, innovating applications of machine learning to business problems, and providing technical expertise to junior team members.

Must Have

• 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

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

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.