Teamlead Data Science overseeing strategic AI initiatives for business impact at leading Austrian corporation. Responsible for team development and end - to - end data solutions.
About the role
- Data Scientist specializing in product and marketing analytics to drive strategies using data insights. Based in India, delivering analytical insights and building predictive models.
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.
Requirements
- 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.
Benefits
- Health insurance
- Professional development opportunities
- Paid time off
- Flexible work arrangements
- Equipment allowances
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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