Data Scientist (Digital Intelligence)

  • We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will develop machine learning features, analytical methods, and production-oriented risk signals using device, network, browser, mobile, API, session, and behavioral telemetry
  • This is a hands-on role for a data scientist who can independently deliver well-scoped projects, work with complex and noisy data, and partner with engineering, product, and risk teams to improve fraud detection, identity confidence, and customer outcomes.
  • You will deepen your expertise in Digital Intelligence while contributing to models and signals used in real-world production decisions
  • Develop machine learning features, models, and analytical methods for device, network, browser, mobile, session, and behavioral intelligence
  • Work on scoped fraud and identity risk problems where data quality, labels, telemetry coverage, and product tradeoffs need careful analysis
  • Build features from large-scale, high-cardinality, sparse, noisy, and platform-dependent telemetry
  • Analyze signal patterns such as spoofing, emulator behavior, automation, proxy/VPN usage, low-entropy fingerprints, telemetry gaps, and device or session fragmentation
  • Design and execute validation analyses, including train/test splits, holdout checks, leakage review, drift assessment, customer impact analysis, and feature stability review
  • Use supervised, unsupervised, statistical, and heuristic approaches to identify durable fraud and identity risk signals
  • Investigate imperfect labels, delayed outcomes, instrumentation gaps, and changing fraud patterns to distinguish useful signal from data artifacts
  • Partner with senior data scientists, engineering, product, risk, and platform teams to clarify requirements, prepare data, implement features, and support production rollout
  • Contribute to model documentation, feature definitions, explainability materials, dashboards, and production-readiness reviews
  • Communicate methods, assumptions, findings, limitations, and recommendations clearly to technical and cross-functional stakeholders
  • Support junior data scientists and analysts through code review, analytical feedback, and sharing effective modeling and validation practices

Benefits

  • Health: Comprehensive medical coverage, including vision, dental, and FSA
  • Parental Leave: Generous leave allowance for
    parents-to-be
  • 401k: Pre-tax savings for retirement
  • Life Insurance: Protect your family in
    case of emergency
  • PTO: Take as much time as you need,
    when you need it
  • 100% Remote: Work from anywhere anytime, whatever suits your lifestyle
  • WFH Allowance: Generous reimbursement program to maximize your WFH setup
  • Deskpass: Work in an office environment whenever you feel the need
  • Mental Health Provider: Connect with clinicians when you need it
  • Learning & Development: Self-education allowance & free career coaching
  • Employee Assistance Program “EAP”: Lifestyle resources available as well as additional mental health resources
  • Fertility Provider: Family planning solutions for those interested
  • Personal Legal Support: Significant discounts with RocketLawyer
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