Adyen
Senior Optimization Data Analyst
Chicago · Senior
Sponsorship not specified$154k-$200kDetected 43 days ago
PythonGitSQLMachine LearningSparkAirflowData AnalysisData EngineeringData ScienceData VisualizationA/B TestingRecruitingControlsCommunicationCollaborationMentoring
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$76,3361 entry
Level II$97,4902 entries
Level III$118,6643 entries
Level IV$139,8184 entries
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Chicago-Naperville-Elgin, IL-IN. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- At Adyen, everything we do is engineered for ambition.
- This role sits at the intersection of technical depth and commercial impact.
- You will work directly with large-scale transactional data, including ML output and labeled risk data, to generate comprehensive insights that connect to merchant strategy.
Responsibilities
- Domain-Led Merchant Engagement: Lead PO's most complex merchant engagements in the risk, fraud, and ML optimization domain.
- In close collaboration with Adyen's product teams, contribute to building an analytical layer that connects model behavior to merchant strategy, improving explainability and enabling more targeted optimization.
- Automation and Scalable Technical Solutions: Lead or contribute to automation initiatives that expand PO's reach beyond direct merchant engagement.
- Build scalable data products, tools, and analytical workflows that allow commercial stakeholders, including Account Managers and Sales teams, to access and act on risk and fraud optimization insights without requiring PO involvement for every interaction.
- Identify where engineering effort creates the highest leverage and execute accordingly.
- Emerging Optimization Domains: Develop and maintain a forward-looking perspective on where the risk and fraud optimization surface is evolving.
- Deep understanding of statistical methods including hypothesis testing, experiment design, regression modeling, and the ability to apply these rigorously in a business context where decisions have commercial consequences.
- Proven ability to lead high-impact, cross-functional initiatives independently, with the organizational credibility and communication skills to align stakeholders across commercial, product, and data functions.
- If you need accommodations or support during the recruitment process to perform at your best, you'll have the opportunity to let our team know in your application.
- Commercial Enablement and Knowledge Transfer: Develop playbooks, and reference frameworks that enable PO and commercial stakeholders to engage more confidently on risk and fraud optimization topics.
Requirements
- 10+ years of relevant experience in data analytics, data science, risk, or fraud optimization, with a demonstrated track record of driving measurable impact in a payments or fintech environment.
- Deep expertise in risk and fraud analytics, including hands-on experience working with ML-based decisioning systems and large-scale risk model data.
- You are comfortable working with raw model output and labeled risk data to generate insights that go beyond standard analytics.
- Expert-level proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing, scalable ETL pipeline development, and production-grade analytical systems.
- Strong experience with data visualization and self-service analytics tools such as Looker or Tableau, with the ability to design dashboards and tools that non-technical stakeholders can use independently.
- Experience with big data technologies including Spark and Airflow, and version control systems including Git, with a standard of engineering quality that produces reliable, maintainable, and scalable outputs.
- Ownership mentality, intellectual curiosity, and the ability to operate in a fast-paced, cross-functional, global environment where ambiguity is the norm and impact is the measure.
Nice to have
- Payments or fintech industry experience is required at this level, not a plus.
Compensation
- Total compensation package includes equity (RSUs), 401(k), health, dental, vision, and more.
Benefits
- Mentor and provide technical guidance to other analysts, fostering a culture of analytical rigor and continuous learning within the team.
- This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while also supporting flexibility.
- Diversity, Equity, and Inclusion at Adyen
Company info
- This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice.
- We are motivated individuals who tackle unique technical challenges at scale and solve them as a team.
- Diversity, Equity, and Inclusion at Adyen We actively seek different perspectives to sharpen our ideas.
- This includes designing and interpreting sophisticated analyses, advising merchants on how to safely operationalize ML-driven decisioning systems, identifying performance gaps that require domain-level expertise to diagnose, and driving strategic improvements in fraud strategy, risk rule configuration, authentication flows, and authorization performance across Adyen's largest customers.
This listing is sourced directly from Adyen's careers page and normalized into a canonical job model.