Data Scientist - eCommerce

- Experience in R, Python & machine Learning (NLP)

- Translate business objectives into analytic approaches, and identify data sources to support analysis.

- Analyse and model structured data using advanced statistical methods

- Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.

- Analyse data using R, open source packages, and commercial/enterprise applications.

- Perform machine learning, Text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.

- Implement algorithms and software needed to perform analyses

- Drive client engagements focused on Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.

- Interface with databases (SQL) to extract, transform and load data

- Communicate results and educate others through reports and presentations.