Data Scientist II, Client Analysis

What you'll do

• Analyze large customer datasets, develop actionable insights, and communicate model performance and risk-management recommendations.
• Partner with go-to-market teams to present data stories, educate customers, and identify opportunities for upsell and product optimization.
• Build tools and automated workflows, and develop alternative machine-learning models when useful.

What they ask for

• Degree in a quantitative field or equivalent work experience.
• 2+ years of experience in data science, data analysis, or analytics engineering.
• Strong practical and theoretical understanding of supervised and unsupervised machine learning; Python coding skills and 2+ years working with massive real-life datasets.
• Experience querying relational databases with SQL and working with cloud technologies.

Nice to have

• Advanced degree.
• Experience in identity verification and fraud prevention.

Pay

$150K – $185K (base salary)

Tools

Python, SQL, AWS, Azure, Databricks, GCP, PySpark, Pandas

AI focus

Applies supervised and unsupervised machine learning to evaluate fraud and identity models; may build alternative ML models and work with explainability and LLM/agentic workflows.