Bachelor’s Degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.); advanced degree preferred.
2 - 5 years' experience in applied data science role or equivalent; ideally in CPG/Retail.
Good to have - Knowledge and experience in modelling techniques and advanced applied skills (e.g. significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.) using tools like Spark, Scala, SAS, R, Python, Bayesian, H2O, Storm, Yarn, and Kafka.
Must have Experience querying databases (SQL, Hive).
Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark).
Strong Working knowledge of data visualization tools such as Tableau, Power BI, D3, ggplot, to deliver output to the broader business community to improve decision making and productivity.
Experience working with Amazon ecosystem and data (desirable).
Strong communication and presentation skills.