Description

You will design and implement predictive models using high-dimensional, real-time datasets to support product development and KPI improvements.

This role is on-site.

Responsibilities

• Build and deploy machine learning and deep learning models for anomaly detection, including payment, membership, and identity risk.
• Execute simulated and live experiments, such as A/B and multivariate tests, to optimize business outcomes.
• Create interactive dashboards and visualizations to monitor performance and share insights with stakeholders.
• Research and integrate new methods and tools to solve complex business problems.

Required Skills

• 3+ years of experience in data mining, machine learning, and statistical analysis.
• Proficiency with Python machine learning and data mining packages.
• Programming skills in Java or JavaScript on UNIX or Linux platforms.
• Experience with large datasets and distributed computing tools.
• Hands-on experience with BigQuery and Google Cloud Platform (GCP).
• Master’s or Ph.D. in a STEM field (or equivalent technical experience).

Preferred Skills

• Experience building and deploying deep learning models.
• Background in fraud detection, abuse detection, or eCommerce.

Key Skills

Education

Any Graduate