Description

You will develop and maintain customer risk models using large-scale data from the ThreatMetrix Digital Identity Network.

This role is on-site.

Responsibilities

• Establish, maintain, and tune customer risk models leveraging thousands of data points.
• Build big data analytics workflows using Spark within Databricks clusters and EMR to measure content quality KPIs.
• Develop content improvement methods using machine learning, NLP, taxonomies, and linked data.
• Communicate complex behavioral patterns and analysis to non-technical audiences using visualization tools.
• Collaborate with Product and Engineering teams to automate content transformation and redefine best practices.

Required Skills

• 5+ years of experience in data science or related roles.
• Proficiency in Python (sklearn), SQL, R, or SAS.
• Strong experience with SQL Server, Redshift, and AWS Glue.
• Hands-on experience with TensorFlow and Pandas.
• Competency in Java/J2EE, including Spring, JSF, and Hibernate frameworks.
• Solid understanding of statistics and various machine learning models and applications.
• Ability to extract meaningful correlations from large and small datasets.
• Bachelor’s Degree in Computer Science, Computer Engineering, or a closely related field.

Preferred Skills

• Experience with machine learning tools within the AWS ecosystem.

Key Skills

Education

Any Graduate