Senior Data Scientist / Machine Learning Engineer

6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data
Master’s degree in Statistics, Econometrics, Machine Learning, or related fields
Strong knowledge of online AB testing and experimentation
Strong knowledge of Python 3 (data science libraries) and SQL
Experience with common Python data science libraries such as pandas, numpy and scipy
Experience with relational databases such as Postgres, MySQL and/or SQL Server

Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to significantly improve the effectiveness and quality of our identity solutions and drive initiatives to completion
Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies
Test and run experiments to determine impact on model relevancy
Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases
Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment
Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph
Lead high-impact projects from ideation through implementation and completion, mentoring junior team members and ensuring alignment with business objectives

Experience with distributed computing frameworks, particularly Spark is preferred
Experience with Kubeflow is preferred
Understands prompts for AI and is comfortable with using AI to improve day to day productivity
Experience with identity-focused data science projects (e.g., authentication, fraud, user verification, KYC)
Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries