Responsibilities

• Independently develop and deliver data science projects/modules with medium to high complexity
• Identify machine learning algorithms and methods best suited to solve specific business problem
• Build robust code in Python, R etc. in data science projects
• Understand business problem and provide solution using data science and analytics
• Network with the organization to obtain required data from multiple sources
• Data management for data science projects – Data extraction, validation, cleaning, processing and storage
• Effectively communicate with clients
• Transform data science prototypes into machine learning systems.
• Build cost effective and efficient systems using parallel processing and other methods.Experience Required:
• Experienced in building multiple data science projects of medium to high complexity
• Deep knowledge of math, probability, statistics and algorithms.
• Experienced in writing robust codes in Python, R etc.
• Understanding of data structures, data modelling and software architecture.
• Exposure to complete life cycle of data science projects
• Experience/exposure to implementation of data science projects
• Exposure to ML platforms like Databricks etc.
• Experience/Exposure to Big Data technologies like Spark and Hadoop.
• Worked directly with clients and stakeholders.

  Education:

• Master Degree or higher in one or more of the following quantitative disciplines, i.e. Mathematics, Statistics, Economics, Computing.