Head of Data Science

Frederick Fox
Hayward, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Hayward, United States of America

Tech stack

Big Data
Network Analysis
Fraud Prevention and Detection
Machine Learning

Job description

We are seeking an exceptional Head of Data Science to lead strategy, innovation, and execution across our Identity and Compliance portfolio. This Senior Director-level leadership role will define the future of how we leverage data science, machine learning, and graph intelligence to solve some of the industry's most complex identity, fraud, and compliance challenges

This is an opportunity to move beyond incremental model improvements and build the next generation of intelligent systems that power identity resolution, verification, risk assessment, and compliance at scal

e. As Head of Data Science, you will unify and drive the data science vision across three critical domai

  • ns: Identity Graph & Entity Resolu

  • tionKYC / eKYC & Identity Verifica

  • tionWatchlist Screening, AML & Compliance

Risk You will partner closely with Product, Engineering, Risk, and executive stakeholders to create a long-term roadmap that balances innovation, scalability, business impact, and operational excell

ence. What You

  • 'll DoDefine and Lead Data Science St
  • rategyArchitect Next-Generation Intelligence S
  • ystemsDrive Innovation in Fraud, Identity, an
  • d RiskInfluence Cross-Functional Ou
  • tcomesBuild High-Performing

Requirements

Communication & Le

  • adershipOutstanding ability to communicate complex concepts to technical and executive au
  • diences.Proven experience influencing cross-functional stakeholders and driving al
  • ignment.Strong executive presence and strategic thinking capab, * ExpertiseDeep expertise in machine learning, large-scale data systems, and ap
  • plied AI.Experience with graph technologies, entity resolution, network analysis, or graph neural
  • networks.Strong understanding of model lifecycle management, experimentation frameworks, and production ML

systems. Domain

  • KnowledgeExperience in identity verification, fraud prevention, AML, compliance, risk, or related domains is highly
  • desirable.Ability to rapidly learn and apply domain expertise in complex regulatory env

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