Data Scientist level III at Conde Nast

Bengaluru, Karnataka, India

Conde Nast Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Media, PublishingIndustries

Requirements

  • Bachelor's with more than 5 years of relevant experience OR Masters with more than 3 years of relevant experience OR PhD with at least 2 years of relevant industry experience
  • Degree in Computer Science, Statistics, Mathematics, Econometrics, or other relevant fields
  • Strong fundamentals in algorithms and data structures, coding, ML system architecture design and deployment at scale
  • Experience in analysing complex problems and translate it into data science algorithms
  • Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.)
  • Experience in statistical analysis and experiment design
  • Strong software development skills with proficiency in Python
  • Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn
  • Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team

Responsibilities

  • Design and develop advanced machine learning models for a variety of applications
  • Work closely with data engineers and machine learning engineers to deliver products for hundreds of millions of users
  • Experiment and Innovate in AI & machine learning applications to Conde Nast’s Business problems
  • Mentor and guide junior team members, fostering a culture of innovation and excellence
  • Effectively communicate complex technical concepts to both technical and non-technical audiences
  • Stay up-to-date with the latest advancements in data science and machine learning

Skills

Machine Learning
Algorithms
Data Structures
ML System Architecture
Model Deployment
Recommendation Systems
User Personalization
Data Analysis

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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