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Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in data science with a focus on payments, utilizing advanced analytical techniques and machine learning to drive revenue growth and optimize payment processes. Proven ability to collaborate across teams and mentor others while delivering actionable insights from large-scale transactional datasets.
Highest-signal resume keywords
Machine Learning SolutionsPython ProgrammingSQL ProficiencyPayments ExpertiseData Analysis
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Discover high-value payment opportunities using payments knowledge, exploratory data science, and machine learning
- Use corporate payments data to identify opportunities for revenue growth, improved payment economics, supplier onboarding, and customer acquisition
- Identify additional data that could unlock further analysis
- Build intelligent payment data products involving predictions, recommendations, optimization, and decisioning
- Develop models and signals related to merchant and supplier behavior, payment acceptance, authorization performance, BIN/interchange optimization, payment routing, fraud/risk, and payment economics
- Create connected intelligence across customers, suppliers, merchants, transactions, payment methods, networks, and other payment entities
- Identify patterns in large-scale transaction data to improve acceptance, payment performance, revenue, and margin
- Form hypotheses and prove value through rigorous analysis
- Prototype using Python, SQL, machine learning, and modern data platforms before scaling solutions
- Partner with Product and Engineering to productionize models, signals, and decisioning capabilities
- Design experimentation and measurement frameworks to demonstrate incremental business value
- Help define semantic and contextual intelligence for future payments AI agents and agentic experiences
- Act as a thought partner to Payments leadership and proactively identify opportunities
- Mentor data analysts and collaborate with data scientists across the organization
- Share practices and raise the technical and data-science bar
Requirements
What you’ll need- 10+ years of relevant experience in data science or a related quantitative discipline
- Hands-on experience building production machine-learning, predictive, optimization, or decisioning solutions
- Deep subject-matter expertise in payments, credit cards, payment transactions, or payment infrastructure
- Experience in areas such as authorization, acceptance, interchange, BINs, merchant behavior, payment routing, fraud/risk, transaction economics, settlement, or payment-network dynamics
- Strong Python and SQL skills
- Experience working with large-scale transactional datasets
- Ability to perform exploratory analysis, feature engineering, modeling, experimentation, and productionization
- Ability to identify business implications and opportunities from payment data
- Builder and entrepreneurial mindset
- Strong product instincts and judgment
- Ability to work with Product, Engineering, Commercial, Risk, and business leaders
- Ability to communicate clearly and succinctly with director- and VP-level stakeholders
- Customer empathy, proactive collaboration, accountability, and willingness to challenge existing approaches constructively
- Established technical leadership and collaborative mentoring approach
- Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, or another quantitative discipline is nice to have; equivalent depth through experience may be considered
- Experience with R and modern data platforms such as Snowflake or Databricks is nice to have
- Curiosity about GenAI and agentic systems is nice to have
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
- Quarterly or annual bonus eligibility for non-sales roles
- Continued individual-contributor growth is supported
- Potential opportunity to build a supporting team over time
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data SciencePredictive ModelingOptimization TechniquesFeature EngineeringExploratory Data AnalysisDecisioning SolutionsStatistical AnalysisData Visualization
Soft Skills
Proactive CollaborationCustomer EmpathyClear CommunicationMentoringEntrepreneurial Mindset
Tools & Technologies
SnowflakeDatabricksR ProgrammingMachine Learning Platforms
Industry Keywords
Payment TransactionsFraud RiskMerchant BehaviorPayment EconomicsBIN OptimizationPayment RoutingInterchange Dynamics