Senior Data Scientist

EPAM Systems; Brasil; Remote; BRL 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

LinkedIn Learning access

Upskilling courses

Global opportunities

Volunteer opportunities

Job summary

EPAM Systems, Inc. is seeking a Senior Data Scientist to design, test and deploy automated fraud detection systems. You will partner with fraud operations to automate analysis, optimize real-time rules, and deliver production-ready models with thorough documentation.

The role requires hands-on Python development for model building, robust evaluation, and deployment in production with low latency. Strong communication and collaboration are essential for cross-functional teams.

Qualifications

• 3+ years of data science experience in fraud detection or risk analytics.
• 3+ years deploying ML models in production environments.
• Proficient in Python for model development and data processing.
• Strong collaboration with fraud operations and analytics teams.
• Experience with real-time data processing and low-latency needs.
• Upper-Intermediate English (B2).

Responsibilities

• Design ML models to detect and prevent credit card fraud and chargebacks.
• Build automated anomaly detection to replace manual fraud analysis workflows.
• Deploy real-time fraud detection pipelines with preventative rule optimization.
• Validate model performance with robust testing and monitoring.
• Document model architecture and data pipelines for operations.
• Transfer knowledge to internal teams during handoff.

Skills

Fraud detection

Python

Real-time processing

Model deployment

Anomaly detection

Stakeholder collaboration

Data analysis

Documentation

Technical writing

Tools

Databricks

Anthropic Claude

Job description

We are seeking a Senior Data Scientist to build, test, and deploy automated fraud detection systems that reduce payment fraud, chargebacks, and ecosystem exploits. You will partner with fraud operations to automate analysis, optimize preventative purchase rules in real time, and deliver production-ready models with clear documentation.ResponsibilitiesDesign machine learning models to detect and prevent credit card fraud and chargebacksBuild automated anomaly detection to replace manual fraud analysis workflowsDeploy real-time fraud detection pipelines that support preventative purchase rule optimizationAccelerate delivery of new detection capabilities ahead of major releases and sales eventsValidate model performance with robust testing and monitoring to control risk and accuracyDocument model architecture, data pipelines, and detection logic for operational useTransfer knowledge and support offboarding to transition stabilized systems to internal teamsRequirements3+ years of experience in data science roles focused on fraud detection or risk analytics3+ years of experience developing and deploying machine learning models in production environments3+ years of experience using Python for model development and data processingStrong stakeholder collaboration skills for partnering with fraud operations and analytics teamsProven delivery ownership for rapid, high-impact rollouts under time-sensitive milestonesSolid knowledge of real-time data processing concepts and low-latency detection needsHands-on experience with AI solution engineering from prototype to operational deploymentAdvanced understanding of additive machine learning models and their use in anomaly detectionStrong analytical skills to evaluate model performance and manage false positives/negativesStrong communication skills for technical documentation and knowledge transferUpper-Intermediate English proficiency (B2)Nice to haveDatabricksAnthropic Claude CodeWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.