Data Scientist II at Conde Nast

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, PublishingIndustries

Requirements

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

Responsibilities

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 Condé Nast’s business problems
Provide technical expertise to junior team members

Skills

Machine Learning

Image Recognition

Recommender Systems

NLP

Segmentation

Data Science

Model Design

Python

Algorithm Development

Conde Nast

About Conde Nast

N/AHeadquarters

N/AYear Founded

N/ACompany Stage

Consulting, Consumer Goods, EntertainmentIndustries

Benefits

Paid Vacation

Hybrid Work Options

401(k) Company Match

Bupa Private Healthcare

Parental Leave

Wellness Program

Performance Bonus

Risks

Decline in print media consumption impacts traditional magazine sales for Conde Nast.

Increased competition from agile digital-native media companies challenges Conde Nast.

Rising ad-blocker usage reduces effectiveness of Conde Nast's online advertising revenue.

Differentiation

Conde Nast leverages AI-driven content personalization to enhance user engagement.

The company focuses on sustainability, appealing to environmentally conscious consumers.

Conde Nast collaborates with influencers to effectively reach younger audiences.

Upsides

Short-form video content is a growing opportunity for Conde Nast's digital strategy.

The podcast industry's growth offers expansion potential for Conde Nast's audio content.

AI-driven personalization enhances user engagement and retention for Conde Nast.

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