Part of the Research team working continuously to improve Shield Square’s bot-human classification engine.
Analyze billions of web page visits per month amounting to many terabytes of data and apply state-of-the-art Data Science/ML tools to derive new patterns.
Build and own custom classification engines for novel use cases and high priority customer requirements.
Excellent quantitative skills and knowledge of statistics
Interest in learning and applying the learnings to achieve the objectives.
Interest in experimentation and data-driven improvisation
Interest in building and owning prototypes of end-to-end modules for proof-of-concept
Any of the following qualifications are preferred:
Knowledge of SQL/Visualization tools/Python: Pandas, Scipy suite, Tensorflow, Keras
Completion of online courses in Data Science/ML domain
Participation in Data Science/ML competitions
Contribution in open source projects
Experience in solving real-world Data Science problems
Knowledge of Machine Learning and Deep Learning techniques
Experience in A/B testing, controlled experiments
What’s in it for you?
Experience in working on billions of newly generated data points per month (many terabytes of data) using cutting-edge Data Science tools.
Experience in R&D of real-time bot-human classification engine handling 1000s of request per second
Work and learn as part of the cross-functional R&D team (some with PhD) building the industry leading bot-human classification engine
Play a high impact role in a setting where data-driven improvements are pushed to production code on a daily basis.
All our team members are IIT Graduate