
Data Scientist II, Customer Technology
- Bangalore, Karnataka
- Permanent
- Full-time
- Conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities.
- Champion the use of emerging technologies - including GenAI and LLMs - to transform how we explore data and uncover insights, unlocking new ways to accelerate analysis, automate complex workflows, and make insights more accessible and actionable across the business.
- Become a subject matter expert on key business metrics and customer behavior, ensuring accurate interpretation and analysis.
- Drive innovation in business analysis by adopting and implementing new methodologies (e.g., key driver analysis, anomaly detection, forecasting, cohorting).
- Establish robust KPI tracking and anomaly detection systems to ensure early identification of emerging issues and opportunities.
- Collaborate with cross-functional partners-including Business Strategy, Product, and Engineering-to uncover actionable insights that drive growth and improve customer experience.
- Design, run, and interpret A/B tests to make high-impact changes to the customer experience.
- Build, automate, and maintain scalable dashboards and reports using tools like Looker, BigQuery (GBQ), SQL and Python to enable efficient and self-serve data access for stakeholders.
- Develop optimized and maintainable code pipelines to transform multi-terabyte data into meaningful business insights and recommendations.
- Bachelors in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Masters preferred.
- 2 - 4 years of work experience in a relevant field, such as analytics or data science.
- Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS.
- Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.).
- Experience conducting quantitative analyses on large and complex data sets.
- Experience in leveraging modeling algorithms to derive business insights.
- Experience with experimental test design such as A/B testing.
- Experience with data visualization software (e.g. Google Data Studio, Tableau, PowerBI); experience with Looker a plus.
- Analytical, creative, and innovative approach to solving problems.
- Strong written and verbal communication.
- Ecommerce or retail analytics experience is a plus.