Description

You will design and prototype scalable predictive models and analytics solutions using large-scale business and social datasets.

Responsibilities

• Design, build, and implement predictive models using high-dimensional, real-time datasets.
• Apply machine learning, deep learning, and data mining to develop models for anomaly detection, including payment risk, membership abuse, and identity risk.
• Run simulated and live experiments, including A/B and multivariate tests, to drive KPI improvements.
• Build data visualizations and interactive dashboards to monitor and share business insights.
• Partner with product development teams to provide recommendations through data storytelling.

Required Skills

• 5+ years of experience in data science or a related field.
• Proficiency with machine learning and data mining packages in Python.
• Programming experience in Java or JavaScript.
• Experience working on UNIX or Linux platforms.
• Experience handling large datasets and distributed computing tools.
• Strong understanding of KPI measurement and analysis.
• Technical expertise in data mining, machine learning, and statistical analysis.

Preferred Skills

• Experience with BigQuery and GCP.

Key Skills

Education

ANY GRADUATE