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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building machine learning models and pipelines, with a strong focus on real-time systems and A/B testing. Proven ability to communicate technical results effectively and establish ML/AI functions within organizations.
Highest-signal resume keywords
Machine Learning Model DevelopmentA/B Testing and Experimentation DesignFeature Engineering on High-Cardinality DataEnd-to-End Model DeploymentStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningPredictive ModelingData Science FundamentalsFeature EngineeringA/B TestingReal-Time ML ServingStatistical AnalysisModel EvaluationData Pipeline DevelopmentQuantitative Analysis
Soft Skills
Strong CommunicationCollaborationIndependent WorkProblem SolvingStakeholder Engagement
Certifications & Qualifications
Master's Degree in Quantitative DisciplinePhD in Quantitative Discipline
Industry Keywords
FintechPaymentsFraudRisk ManagementRevenue Impact
About the role
Key responsibilities & impact- Design and build core ML models and pipelines for a greenfield ML/AI direction
- Build a real-time ML payment-routing and decisioning system with direct revenue impact
- Conduct hands-on experimentation from ideation through A/B testing to production
- Integrate cutting-edge AI technologies
- Partner with Product, Engineering, and Data Platform teams to solve modeling problems
- Build orchestrated training and analytics pipelines
- Communicate technical results to engineers and cross-functional stakeholders
- Help establish the ML/AI function, team, and standards from the ground up
- Work with 20M+ orders and 100M+ transactions monthly, plus 100+ payment methods and providers
Requirements
What you’ll need- 4–5+ years in ML or Data Science
- Hands-on production experience with classical predictive models, such as credit scoring, fraud, risk, recommendations, or pricing
- Track record of shipping ML models end-to-end, from idea to production, in a real product environment
- Ability to demonstrate business impact in conversion, approval rate, losses, or revenue
- Strong data science fundamentals
- Hands-on experience with A/B testing and experimentation design
- Feature engineering on high-cardinality transactional data
- Ability to work independently in a greenfield space and own delivery
- Strong communication skills and comfort working with a wide range of stakeholders
- Experience in fintech, payments, fraud, or risk is nice to have
- Experience with real-time or low-latency ML serving is nice to have
- A master's or PhD in a quantitative discipline is nice to have
Benefits
Comp & perks- 30+ days off
- Unlimited sick leave
- Free office meals
- Health coverage
- Apple gear
- Courses
- Conferences
- Sports and wellness benefits
- Employee referral bonus