Senior Data Scientist

Responsibilities:

Understand business problems and translate business requirements into technical requirements.

Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.

Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.

Gather requirements and communicate findings in the form of a meaningful story with the stakeholders.

Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption.

Lead and mentor data analysts.

Requirements:

Minimum of 4 years of work experience in data science.

You should have successful projects of CPG/retail/BFSI/FMCG/Manufacturing/QSR/Health Care in your kitty to show-off.

Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.

Good experience with Python, R, SQL is needed.

Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.

Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics.

Experience with data science models like Decision Tree, Random Forest, Linear regression, Statistical Modelling, Predictive modelling.