Data Scientist

About the Role

The ideal candidate thrives on learning, data, scale, and agility. You will leverage collaboration skills to extract insights from complex datasets, ask pertinent questions, and deliver actionable answers.

Key Responsibilities:

• Execute advanced data science initiatives to generate diverse user-facing insights
• Leverage clustering techniques to identify behavioral and attribute-based segments
• Predictive analysis for what-if scenarios supporting organizational planning and marketing strategy
• Develop and apply algorithms that solve real-world business challenges
• Serve as the primary resource for statistical modeling and analysis within the organization
• Leverage leadership skills to manage a small team effectively

Educational Requirements:

• Postgraduate degree in Statistics from a premier institute

Experience Level:

• 1-4 years of relevant experience required

Essential Skills & Competencies:

• Demonstrated expertise in statistics and Machine Learning with hands-on proficiency using statistical tools
• Proven ability to translate data analysis into meaningful, actionable business insights
• Exceptional communication skills for stakeholder management
• In-depth experience with predictive modeling techniques including Logistic Regression, Random Forest, and Ada-Boost
• Proficiency in running multivariate regression models using Python or R
• Solid capability to perform cluster analysis on large-scale datasets
• Broad understanding of diverse data sources and ecosystems
• Expertise in receiving, loading, cleansing, enriching, and enhancing transactional data
• Autonomous problem-solving ability with minimal guidance required