Data Scientist - Advertising Firm

As data scientist, the ideal candidate will get to be a part of the team that uses advanced statistical and machine learning models to build solutions that enable the client to match users with relevant ads in the most optimal way

Client Details :

Our client is one of the world's leading companies in the Contextual Advertising space that provides a wide range of advertising and traffic monetization solutions. It serves contextual real-time ads customised for each visitor and each page view across billions of visitors across millions of sites/domains.

Description :

The key responsibilities of Data Scientist would be :

- Understand business requirements, analyse and extract relevant information from large amounts of historical data

- Apply knowledge of Information retrieval, NLP, Machine Learning and Deep Learning to build prototype solutions and implement the same

- Help design appropriate model performance metrics and create reports to track the same

- Work with engineering team to identify areas of improvement, jointly develop research agenda and execute on the same using cutting edge algorithms and tools

Profile :

As a successful candidate for Data Scientist Role, you should have :

- PhD/Research Degree or equivalent in Computer Science, Statistics, Artificial Intelligence, Machine learning, Operations Research or related field

- 3 - 6 years of experience in building Machine Learning/NLP/AI/Information Retrieval models

- Extensive knowledge and practical experience in machine learning, data mining, artificial intelligence, statistics

- Hands on expertise in scientific programming languages (R/Python/MATLAB)

- Experience with Apache Spark is desired

- Excellent analytical and problem-solving abilities along with verbal & written communication skills

Job Offer :

An opportunity to build innovative solutions for a leading Contextual Advertising firm based out of Mumbai.

For a confidential discussion about this role please contact Damini Sarin on +91 124 452 5447.

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