About this role
The Data Science department at Riskified powers the core engine by building production-grade algorithmic solutions at immense scale, specifically focusing on an AI-powered fraud and risk intelligence platform. This Staff Data Scientist role sits on the Identity team to drive the innovation roadmap for the Identity Graph Engine by architecting, researching, and deploying advanced machine learning models. Candidates who enjoy tackling complex entity resolution and fraud prevention challenges while providing technical leadership and mentorship will thrive in this environment.
Daily responsibilities involve building scalable predictive and representation-learning models over massive tabular, sequence, and graph-structured datasets. The person in this position will collaborate closely with data engineering, core software, and product teams to integrate complex machine learning pipelines into real-time production environments. Someone with a strong academic background in a quantitative field and extensive hands-on experience deploying large-scale production models will find this position well-suited to their skills.
What you will do
- Architect and advance the next generation of the Identity Graph Engine using state-of-the-art graph models, transformers, and machine learning techniques.
- Define the research roadmap for identity resolution, setting technical standards and guiding complex research projects from initial concept to high-throughput production systems.
- Build scalable predictive and representation-learning models over massive tabular, sequence, and graph-structured datasets.
- Collaborate closely with Data Engineering, Core Software, and Product teams to seamlessly integrate complex ML pipelines into real-time production environments.
- Benchmark and import academic research into practical business solutions while mentoring senior data scientists on modern modeling paradigms.
What you need
- Hold an M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Bring 6+ years of hands-on experience designing, training, and deploying complex machine learning models in large-scale production environments.
- Demonstrate proven expertise with Transformers, Deep Neural Networks, Graph Neural Networks, or Advanced Tabular Learning architectures.
- Possess strong practical experience working with large-scale distributed data processing systems like Spark or Databricks, alongside graph databases and frameworks.
- Show a proven track record of technical leadership, setting architectural direction, and translating complex business requirements into high-impact algorithmic solutions.
Nice to have
- Experience in fraud detection, risk management, or fintech.
- Experience in Identity Resolution, Entity Disambiguation, Link Analysis, or Complex Network Modeling.
Benefits
- Equity for all employees
- Keren Hishtalmut and pension
- Private medical insurance
- Extra time off for parents and caregivers
- Commuter and parking benefits
- Team events, fully-stocked kitchen, lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
The Tel-Aviv team is currently working in a hybrid model that combines remote and in-office work.
What kind of background is required for this position?
Applicants need an M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, along with six or more years of hands-on experience deploying complex machine learning models in production.
What team will this person join?
This role joins the Identity team within the Data Science department to work on the Identity Graph Engine.