Excellent understanding of data engineering and exposure to data science and analytics Enthusiasm to work with Product and Operations to truly understand the user/business need in order to develop disruptive products.
Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning. Post Graduate Degree in Applied Mathematics and/ or Statistics is preferred.
Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
Strong hands on experience in application of NLP techniques and building successful ML models for production application
Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly detection, Pattern detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.
Very good coding skills in any of these languages: R, Python, C and Machine Learning libraries like scipy, numpy, pyspark, tensorflow etc
Experience in SQL and relational databases and Big Data technologies e.g. Spark/ Hadoop.
Good understanding of programming best practices and building for re-use.
Prior publication record at AI/ ML conferences would be a plus.
Broad understanding of Machine Learning techniques