Data Scientist

Role Overview

This is an exciting opportunity to leverage advanced analytics and machine learning to drive business growth and enhance user experiences at scale. Working at the intersection of marketing, product, and data science, you will develop models and insights that directly influence customer acquisition, retention, engagement, and monetization strategies.

What You Will Do

Develop and manage end-to-end predictive models focused on customer lifetime value (LTV), retention, segmentation, revenue forecasting, and marketing performance optimization. Analyze user behavior, customer journeys, engagement trends, and conversion funnels to uncover growth opportunities and performance improvements.

Why It Might Be a Fit

Ideal for a results-oriented professional, this position offers the chance to create scalable, production-ready models that generate measurable impact across multiple business functions. Collaborate with cross-functional teams to deploy and scale data-driven solutions.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Data Science, or another quantitative discipline
• 5+ years of experience in data science, growth analytics, decision science, or related analytical roles
• Strong proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn
• Advanced SQL skills with experience querying and analyzing large datasets
• Hands-on experience with business intelligence and visualization platforms such as Tableau, Looker, or similar tools
• Solid understanding of customer lifetime value modeling, cohort analysis, retention metrics, attribution methodologies, and growth analytics
• Experience working with digital marketing platforms such as Google Ads, GA4, Meta, or similar performance marketing ecosystems
• Strong statistical analysis, predictive modeling, and machine learning expertise
• Excellent communication and presentation skills, with the ability to translate technical findings into business recommendations
• Proven ability to work collaboratively across technical and non-technical teams in a fast-paced environment

Benefits

• Remote work flexibility within India
• Additional day off on the third Friday of every month, providing a long weekend each month
• Monthly wellness reimbursement program supporting employee health and well-being
• Monthly commuting reimbursement program
• Paid maternity and paternity leave benefits
• Opportunity to work with modern machine learning technologies and large-scale datasets
• Collaborative and innovative work environment focused on data-driven decision making
• Exposure to cross-functional projects with significant business impact
• Career growth and professional development opportunities within a high-growth organization