Data Scientist

Advanced Data Science scope focused on AI/ML application development, advanced data

science methodologies, advanced analytics techniques, programming languages, tool

evaluation/selection, and applying the right analytical approach to complex use cases.

Key Responsibilities / Scope of Work

• Extensive experience in developing applications based on AI / ML.

• Apply advanced data science methodology in solving complex use cases.

• Apply advanced analytics methods such as Random Forest, Isolation Forest,

Regression, Neural Networks, etc.

• Knowledge of R, Python, Pyspark, Scala, and R Spark.

• Evaluate / select tools.

• Understand the use case and apply the right analytical approach.

Required Technical Skills / Experience

• AI / Machine Learning application development

• Advanced Data Science methodologies

• Random Forest

• Isolation Forest

• Regression

• Neural Networks

• R

• Python

• Pyspark

• Scala

• R Spark

• Tools evaluation / selection

• Analytical approach / use-case understanding