Required Skills and Proficiency:

• Proficiency in A/B testing, quasi-experiments, causal impact methods (e.g., difference-in-differences, instrumental variables, propensity scoring).
• Familiarity with survival/lifecycle modelling, regression, classification, and recommendation systems.
• Experience with customer journey analysis, churn prediction, subscription upsell, and personalization algorithms.
• Meta-analysis across categories (pooling multiple studies while controlling for heterogeneity).
• E-commerce domain knowledge: buy-box dynamics, cart abandonment, returns management, merchandising, trust signals.
• Customer-centric thinking: mapping buyer journeys, satisfaction outcomes, and long-term retention vs short-term gains.
• Strong SQL and data wrangling (ETL pipelines).
• Proficiency with Python/R for statistical computing.
• Familiarity with experimentation platforms, BI tools (Tableau, Power BI), and data warehouses (Snowflake, BigQuery, Redshift).
• Prior academic research, writing and publishing experience

Qualifications

• Strong expertise in Academic Research and Analytical Skills with the ability to collect, evaluate, and synthesize data effectively
• Proficiency in Academic Writing and general Writing skills for creating in-depth research papers, reports, and publications
• Excellent Communication skills for conveying research findings
• Ability to work independently in a virtual setting
• A background in E-commerce or experience in Product Management research is beneficial
• An advanced degree in Business, E-commerce, or a related field is preferred

To Apply:

Share your prior research works, such as Google Scholar or ORCID or Publications in resume.