Data Scientist

The ideal candidate's favorite words are learning, data, scale, and agility. You will use your collaboration skills and ability to extract insights from complex data to ask the right questions and find the right answers.

Responsibilities:

• Work on advanced data science 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:

• Postgraduate degree in Statistics from a premier institute

Experience:

• 3-6 years of experience

Key Skills:

• 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, AdaBoost).
• 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 in an ambiguous environment with minimal guidance.

Specialised knowledge required – Good to have

• 3-6 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