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Senior Research Engineer/ Data Scientist
Posted 1 week ago
Things you do at Airpush:
Create a scalable, top-notch web services infrastructure
Develop on a rich codebase on a high-volume real-time advertising platform for ad evaluation, bidding, and serving
Develop and implement high performance machine learning algorithms
Tweak the ecosystem to get maximum performance.
Develop new algorithms to analyse large volumes of structured and unstructured data.
Work closely with product management and engineering leads to create algorithms to address real world data.
Work with a variety of data from different verticals and adapt the algorithms to new problems and data types.
Experience in working on machine learning,classifiers, clustering and predictive algorithms with real customer data.
Hands-on experience in using predictive techniques, such as logistic regression, Naïve Bayes, SVM, decision trees and neural networks.
Good understanding of algorithms and data structures and the ability to implement scalable algorithms with large amounts of data in Perl, Java or Python.
Strong verbal and written communication skills
1-2 years of experience with real world data.
Good to have MS/Ph.D. in Computer Science or Statistics.
A valid email address is required.
A valid phone number is required.