Data Scientist

Key Responsibilities:

• Work on advanced data analysis to provide insights to different types of users
• Identify behavioral and attribute based clusters using clustering techniques
• Conduct predictive analysis to create various “what-if” scenarios to drive organizational planning and marketing strategy
• Develop & apply algorithms operating on data to solve real life business problems.
• Be the “go to” person for all statistical modelling/analysis in the organization
• Competent to manage a small team

Educational Qualification: Post Graduation in Statistics from Premier Institute with 2-4 years of experience

• What is the nature and scope of responsibilities the candidate should have handled?
• Strong statistical / Machine Learning knowledge and hands-on experience with statistical tools and techniques
• Demonstrated capability to provide meaningful and actionable insights based on data analysis
• Strong communication skills
• Significant experience in predictive modelling (e.g. Logistic Regression, Random Forest, Ada-Boost).
• Strong capability of running multivariate regression models using Python/R
• Ability to conduct cluster analysis on large datasets
• Good understanding and working experience with multiple data sources
• High level of comfort with receiving, loading, cleansing, enriching & enhancing transactional data sources
• Ability to proactively come up with solutions requiring minimal guidance
• Should be a strong team player & able to work on ambiguous environment with minimal guidance

Good to have

• 3-5 years of experience in statistical modelling/customer segmentation/predictive analysis in a quant-heavy organization
• Candidates with strong business sense and problem solving capabilities preferred