Data Scientist

As a Data Scientist you will participate in multiple data science projects right from initial problem statement formulation, data exploration/profiling & transforming for use in Advanced Analytics/ML/AI scenarios. Experience with ML Operations (MLOps) would be an advantage but not a requirement. Duties include:

• Provide data science-based solutions to business problems of varying complexity
• Apply data science & machine learning concepts to help develop models in diverse business domains such as Sales, Finance, HR, and Supply Chain Improvements
• Contribute ideas and thoughts leading towards solutions to business problems
• Interfacing with clients and senior leaders in the business, so excellent communication skills will be of paramount importance
• Ability to explain solutions to stakeholders – no ‘black boxes’ to be deployed

In this Role, Your Responsibilities Will Be:

• Collaborate across the business to understand IT and business constraints
• Actively participate in Agile development and product teams.
• Generate hypotheses about the underlying mechanics of the business process
• Design and create ML Models and data pipelines for more efficient and repeatable data

science projects

• Apply statistical analysis and visualization techniques to various data
• Continuously monitor execution and health of production ML models
• Display drive and curiosity to understand the business process to its core
• Upskill yourself (through conferences, publications, courses, local academia, and

meetups).

Who You Are:

You show a tremendous amount of initiative in tough situations; are exceptional at spotting and seizing opportunities. You observe situational and group dynamics and select best-fit approach. You make implementation plans that allocate resources precisely. You pursue everything with energy, drive, and the need to finish.

For This Role, You Will Need:

•Data curious and creative