Staff Data Scientist - Digital Intelligence

For our client, we are seeking a Staff Data Scientist - Digital Intelligence to join the team of a leader in the Finance & Insurance space.

This role will lead advanced machine learning efforts focused on risk signal development, identity risk, and fraud-related decisioning. You will partner closely with engineering and cross-functional teams to turn complex, imperfect data into scalable features and models that strengthen detection performance while supporting operational efficiency. The position also calls for shaping evaluation standards, improving data practices, and mentoring others to raise the overall technical bar of the team.

The ideal candidate will bring deep experience building and deploying production machine learning solutions in high-stakes environments. Success in this role will require strong analytical judgment, expert SQL, and the ability to uncover meaningful patterns across diverse telemetry sources while balancing model accuracy, stability, and business impact.

You will play a key role in influencing technical strategy and helping define how the organization approaches fraud, identity, and risk analytics at scale.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $150,000 – $180,000 annually

Responsibilities

• Lead machine learning initiatives for risk signal development
• Own complex fraud and identity risk problems
• Develop risk signals that balance detection performance and operational needs
• Build scalable feature engineering methods for diverse telemetry
• Investigate sophisticated signal patterns and risk behaviors
• Define evaluation methods for signal accuracy and stability
• Influence telemetry collection and data practices across teams

Qualifications

• Master’s or Ph.D. in a relevant quantitative field
• 12+ years of experience in data science or related technical roles
• Experience building and deploying production machine learning models
• Background in fraud detection or cybersecurity domains
• Expert-level SQL skills with complex datasets
• Strong proficiency in Python and distributed processing tools
• Ability to handle imperfect data and changing patterns

Benefits

• Opportunity to shape critical capabilities in fraud prevention
• Ownership of impactful technical problems and strategies
• Influence on data science standards and product direction
• Mentoring opportunities to elevate team technical quality

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.