Description

Required Skills :
- Technical expertise in data mining, machine learning, and statistical analysis.
- Proficient in machine learning and data mining packages in Python.
- Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform.
- Experience working with large data sets and distributed computing tools (BigQuery and GCP experiences preferred).
- Advanced degree (Master or Ph.D.) in any STEM field plus three years of related experience.

Additional Skills :
Building and deploying deep learning models would be a strong plus
Experiences in the fraud detection and abuse detection domain
They prioritize candidates who come from an eCommerce background

Responsibilities
- Be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data.
- Design, build and implement predictive models with high-dimensional, fast-moving real-time datasets.
- Use machine learning, deep learning and data mining techniques to develop robust predictive models for anomaly detection such as E-Commerce payment risk, membership abuse risk and identity risk assessment
- Design, analyze, and run both simulated and live experiments (A/B and multivariate tests) to drive KPI improvements.
- Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
- Interested in researching about new methods, tools, and techniques to address complex business problem

Education

Any Graduate