Data Scientist-Data Science-Data Scientist

Responsibilities:

• Deliver Analytical Insights:

  Analyze user behavior across DTC digital platforms (e.g., apps, games, websites) by integrating clickstream, streaming, CRM, and marketing data to uncover actionable insights for product and marketing teams.



• Drive Product & Marketing Strategy:

  Evaluate user cohorts, feature adoption, content engagement, churn drivers, and monetization levers. Translate findings into strategic recommendations.



• Advance Predictive Analytics:

  Build and maintain machine learning models for churn prediction, upsell propensity, and personalized content or product recommendations. Monitor model performance and retrain as needed.



• Create Executive-Ready Visualizations:

  Develop compelling PowerPoints to communicate trends and insights to both technical and non-technical stakeholders.



• Project Management:

  Act as the analytics liaison between U.S. stakeholders and EXL s India delivery center. Manage requirements, timelines, and ensure high-quality deliverables.



• Mentorship & Best Practices:

  Coach junior analysts in SQL, Python, statistical methods, and machine learning. Contribute to the evolution of EXL s DTC analytics playbooks.

Qualifications (Required):

• Bachelor s or master s degree in Statistics, Economics, Mathematics, Computer Science, or a related field from a top-tier institution.


• 4+ years of experience in product analytics and machine learning, ideally within DTC digital products such as apps, games, or websites.


• Strong proficiency in SQL and Python or R for data analysis and modeling.


• Experience with streaming or digital engagement datasets (e.g., Adobe Analytics, Conviva).


• Hands-on experience with churn modeling and recommendation systems.


• Solid understanding of experimental design and statistical analysis.


• Strong storytelling skills able to translate complex data into clear business actions.

Responsibilities:

• Deliver Analytical Insights:

  Analyze user behavior across DTC digital platforms (e.g., apps, games, websites) by integrating clickstream, streaming, CRM, and marketing data to uncover actionable insights for product and marketing teams.



• Drive Product & Marketing Strategy:

  Evaluate user cohorts, feature adoption, content engagement, churn drivers, and monetization levers. Translate findings into strategic recommendations.



• Advance Predictive Analytics:

  Build and maintain machine learning models for churn prediction, upsell propensity, and personalized content or product recommendations. Monitor model performance and retrain as needed.



• Create Executive-Ready Visualizations:

  Develop compelling PowerPoints to communicate trends and insights to both technical and non-technical stakeholders.



• Project Management:

  Act as the analytics liaison between U.S. stakeholders and EXL s India delivery center. Manage requirements, timelines, and ensure high-quality deliverables.



• Mentorship & Best Practices:

  Coach junior analysts in SQL, Python, statistical methods, and machine learning. Contribute to the evolution of EXL s DTC analytics playbooks.