Building Data Science solutions/architectures for Client's given business problem like forecasting sales/profits, measuring media RoI, recommendation systems, lead scoring, digital transformations, or pricing analytics.
Exploring Client's data to assess the best feasible solution.
Performing deep data analysis working with tools like Scala, Spark, SQL, Python, and/or Hadoop.
Building Machine Learning models (unsupervised, supervised, or reinforcement).
Presenting the analysis/solution to clients primarily in North and South America.
