Head of Data Science

Head of Data Science – Identity

Remote - must live in NYC metro area and be available for onsite meetings

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

Teams
What We're Look

ing For
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

ilities.
Technical

• 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