Senior Data Analytics Engineer
RPS North AmericaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, Payments, Identity ManagementIndustries
Requirements
- 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience
- Hands-on with Python for data science (pandas, NumPy, scikit-learn)
- Hands-on with SQL for data preparation and analysis
- Hands-on with Exploratory Data Analysis (EDA)
- Hands-on with basic supervised learning (logistic/trees)
- Hands-on with simple anomaly detection
Responsibilities
- Ingest and prepare IAM telemetry (ForgeRock AM/DS, SAML/OIDC/OAuth events, MFA, sessions, directory logs) for analysis and modeling
- Build and evaluate baseline models for anomaly detection, UEBA, and risk scoring, track clear metrics (precision/recall, ROC-AUC/PR-AUC)
- Run focused EDA and A/B tests to tune adaptive journeys and MFA step-ups for both security and user experience
- Engineer features and keep work reproducible (clean notebooks, versioned datasets, lightweight data docs)
- Package analyses/models for production (Docker and VMs) and contribute to CI/CD and safe rollouts (e.g., canary) with Release Engineering
- Set up basic monitoring for data/model quality, drift, and errors, create simple dashboards/alerts
- Partner with IAM engineers to turn insights into policy/rule changes (risk-based access, session controls) and validate impact on SLO/SLA
- Explore agentic AI (human-in-the-loop) to propose experiments, generate features, and triage anomalies—within audit and safety guardrails
- Apply privacy- and security-by-design (minimize personal data, pseudonymize) aligned to GDPR, PCI DSS, and other audits
- Document findings clearly and communicate results to technical and non-technical stakeholders
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote or on-site?
The position is on-site.
What is the salary range for this Senior Data Scientist role?
This information is not specified in the job description.
What key skills are required for this Data Scientist position?
Key skills include building anomaly detection and UEBA models, handling IAM telemetry from ForgeRock AM/DS and SAML/OIDC/OAuth, feature engineering with reproducible notebooks, productionizing models using Docker, CI/CD, and containerization, and exploratory data analysis with A/B testing.
What is the company culture like at Visa?
Visa emphasizes a purpose-driven culture focused on uplifting everyone through innovative, reliable, and secure payments, with a collaborative environment partnering across IAM Engineering, Release Engineering, and PRE teams.
What makes a strong candidate for this Senior Data Scientist role?
Strong candidates have experience turning telemetry into actionable insights, building and productionizing ML models for anomaly detection and UEBA on ForgeRock platforms, and partnering with engineering teams for CI/CD deployments while prioritizing privacy and security standards.
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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