Drive data-derived insights across the wide range of retail divisions 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 influence future plans based on insights

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field
Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field
5 years' experience in an analytics or related field
Experience in Analyzing the Complex Problems and translate it into data science algorithms
Experience in machine learning, supervised and unsupervised and deep learning
Hands on experience in Computer Vision and NLP
Strong Experience in Python with excellent knowledge of Data Structures
Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala, Spark)
Hands on experience with Git
Experience with SQL and relational databases, data warehouse

Senior Data Scientist

Key skills