Responsibilities:

• Drive data-derived insights and business outcome improvements across Zee by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives


• Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals


• Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data.


• Determine additional data needed to support insights


• Build and train statistical models and machine learning algorithms for replication for future projects


• Communicate recommendations to business partners and influencing future plans based on insights

Key Skills:

• Very good knowledge of the foundations of machine learning and statistics


• Experience in analysing the Complex Problems and translate it into data science algorithms

• Experience in machine learning, supervised and unsupervised and deep learning


• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data


• Strong Experience with one or more of Python and R


• Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala)


• Experience with SQL and relational databases, data warehouse