Data Scientist, Condé Nast
$150-200k
Global media company
Job no longer available
Global media company
1001+ employees
Job no longer available
$150-200k
1001+ employees
Company mission
To inform in new and compelling ways, creating beautiful, visually arresting moments that offer new perspectives, and new forms of self-expression.
Role
Who you are
- Applicants should have a degree (B.S. or higher) in technical discipline or relevant professional experience
- 3-5+ 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.)
- 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 the job involves
- As a senior 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 behaviors
- You will take a mentorship role within the DS/MLE team and work collaboratively with other business areas
- Participates in model design, testing, and execution
- Works closely with data engineers and machine learning engineers to deliver products and analyses
- Develops advanced machine learning algorithms and proof of concepts
- Experiments and innovates in applications of machine learning to Conde Nast’s Business problems
- Provides technical expertise to junior team members
Our take
Condé Nast is a global media powerhouse, shaping culture through its iconic brands across print, digital, video, and social. These include Vogue, GQ, The New Yorker, Vanity Fair, and Architectural Digest and they reach audiences in more than 32 markets worldwide - the company has expanded far beyond magazines too, into entertainment, experiences, and even education.
With the decline in printed media, Condé Nast has stayed ahead by redefining what it means to be a modern publishers. Today, far more people engage with its digital and social content than its print editions, adn the company has leaned into that shift by prioritising digital storytelling, building massive online communities, and moving several titles behind paywalls to replace shrinking print advertising revenue.
Now, as the company looks towards the future, it has doubled down on growth and innovation, And in 2022, it created a dedicated strategy and corporate development role to uncover new opportunities, while heavily investing in its entertainment division. The result: a legacy media brand that's actively reinventing itself for the next era.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Company benefits
- Domestic Partner Benefit Extensions
- Free Mental Health Services
- Assistance in Refinancing Student Loans
- Long-term Remote Work Pilot
- Extended Bereavement leave
- Extended Parental Leave
- Added Adoption Financial Support
Company HQ
World Trade Center, New York, NY
Leadership
Roger Lynch
(CEO)Previously served as President and CEO for Pandora, CEO for Sling TV, EVP of Advanced Technologies for DISH Network and EchoStar Corporation, and Chairman and CEO for Video Networks International LTD.
Sanjay Bhakta
(Chief Product & Technology Officer)Prior to joining Condé Nast in 2020, Sanya spent 4 years at Pearson as a VP Platform Engineer then SVP Platform & Product Engineer. He also spent 3 years at HBO as a VP of Media Software Engineering and 10 years at AT&T as a Senior Technical Director and General Manager of Lead Principal Architect.
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