Data Scientist level III at Conde Nast

Bengaluru, Karnataka, India

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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

Key technologies and capabilities for this role

Machine LearningAlgorithmsData StructuresML System ArchitectureModel DeploymentRecommendation SystemsUser PersonalizationData Analysis

Questions & Answers

Common questions about this position

What are the minimum education and experience requirements for this Data Scientist role?

Candidates need a Bachelor's degree with more than 5 years of relevant experience, a Master's with more than 3 years, or a PhD with at least 2 years of industry experience, in fields like Computer Science, Statistics, Mathematics, Econometrics, or related areas.

What technical skills are required for this position?

The role requires strong fundamentals in algorithms and data structures, proficiency in Python, experience with ML frameworks like TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn, and expertise in areas like NLP, Deep Learning, or Computer Vision.

Where is this job located?

The position is located in Bengaluru, KA.

What does the team culture look like at Condé Nast for this role?

As a senior team member, you will mentor junior members, foster a culture of innovation and excellence, work collaboratively with data engineers, ML engineers, and business areas, and communicate effectively with technical and non-technical audiences.

What makes a strong candidate for this Data Scientist Level III role?

Strong candidates have proven attention to detail, critical thinking, the ability to work independently and collaboratively in cross-functional teams, experience analyzing complex problems into data science algorithms, and staying current with data science advancements.

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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