3+ years in an analytics role, preferably with direct experience in big data solutions
& approaches
SME in statistics, analytics, big data, data science, machine learning, deep learning,
cloud, mobile, and full stack technologies.
Hands-on experience analysing large amounts of data to derive actionable insights
Database background (SQL, Hadoop, Apache Spark or other Big Data platforms) will be a
distinct advantage.
Broad Machine Learning experience - Algorithm Evaluation, Preparation, Analysis,
Modelling and Execution.
Working knowledge on traditional statistical model building (Example: Regression,
Classification, Time series, Segmentation etc.), machine learning (Random forest,
Boosting algos, SVM, KNN etc), deep learning (CNN,RNN,LSTM,Transfer learning) and NLP
(Stemming, Lemitization,Named entity extraction, Latent semantic analysis etc).
Experience in building analytical/data science solution proposals
Good communication skills and partnerships with technology, product strategy, and data
office.
Experience collaborating and influencing senior leaders, business partners across time
zones.
Self-starter and autonomous; work with a global team and demonstrate a strong sense of
ownership.
Degree in statistics, mathematics, operations research, economics, engineering or
information science.
A strong portfolio of GitHub, Kaggle, IP contributions.
