Lead Machine Learning Scientist

Dave

. Develop, train, validate, and optimize advanced fraud detection models .

Posted 10/20/2026full-timeRemote • United StatesSenior💰 $174,000 - $224,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in developing and optimizing advanced fraud detection models using machine learning techniques, with a strong focus on feature engineering and model performance evaluation. Proficient in leveraging AI tools and collaborating across functions to integrate solutions into production systems.

Highest-signal resume keywords

Machine Learning Lifecycle ManagementFraud Modeling ExpertisePython ProgrammingSQL ProficiencyExperience with ML Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningFeature EngineeringModel DevelopmentPerformance EvaluationPredictive ModelingData AnalysisGraph-Based Fraud DetectionNetwork AnalyticsGenerative AICloud-Based ML Infrastructure

Soft Skills

Strong CommunicationCollaboration SkillsAnalytical JudgmentMentoring AbilityProblem-Solving

Tools & Technologies

TensorFlowPyTorchSparkAI-Assisted ToolsGraph Databases

Industry Keywords

FintechConsumer LendingFinancial ServicesFraud PreventionCompliance

Tech Stack

Tools & technologies

CloudPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Develop, train, validate, and optimize advanced fraud detection models
Identify synthetic identities, first-party fraud, account takeover, and emerging fraud patterns
Explore large, diverse datasets and engineer predictive features
Evaluate modeling approaches and translate findings into production-ready fraud solutions
Own the machine learning lifecycle from research and prototyping through testing, deployment, monitoring, and continuous improvement
Use modern AI tools and techniques to improve research, coding, feature development, experimentation, validation, and modeling workflows
Analyze model performance, fraud trends, approval rates, and portfolio outcomes
Improve detection accuracy, reduce losses, and support responsible growth
Partner with Engineering, Product, and Risk Operations to integrate models into production systems
Solve implementation challenges and share technical knowledge
Report to the Director, Risk Science

Requirements

What you’ll need

7+ years of hands-on machine learning experience
Demonstrated track record of personally developing, deploying, and optimizing predictive models in production environments
Deep fraud modeling expertise, including identity fraud, synthetic identities, first-party fraud, and account takeover
Experience ideally within fintech, consumer lending, or financial services
Advanced proficiency in Python and SQL
Strong experience in feature engineering, model development, experimentation, performance evaluation, and production ML systems
4+ years of experience with ML frameworks and cloud technologies, including tools such as TensorFlow, PyTorch, Spark, and cloud-based ML infrastructure
Experience leveraging generative AI and AI-assisted tools across research, coding, analysis, experimentation, testing, and model development
Strong analytical and business judgment across fraud prevention, approval rates, profitability, compliance, and member experience
Ability to independently tackle complex ML problems, make sound technical decisions, and deliver measurable results
Strong communication and collaboration skills
Ability to explain technical findings, partner across functions, and mentor fellow scientists
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience
Experience with graph databases, graph-based fraud detection, or network analytics is a bonus
Permanently authorized to work in the United States without visa sponsorship

Benefits

Comp & perks

Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
Flexible hours and virtual-first work culture with a home office stipend
Premium Medical, Dental, and Vision Insurance plans
Generous paid parental and caregiver leave
401(k) savings plan with matching contributions
Financial advisor and financial wellness support
Flexible PTO and generous company holidays, including Juneteenth and Winter Break
All-company in-person events once or twice a year and virtual events throughout to connect with team members and leadership team
Equity offered