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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in designing and implementing predictive models using machine learning and data mining techniques, with a strong focus on fraud detection and data visualization. Proven ability to collaborate with cross-functional teams to develop scalable AI-driven solutions and communicate insights effectively.
Highest-signal resume keywords
Ph.D. In Computer ScienceMachine Learning ProficiencyData Mining Packages In PythonGCP/BigQuery ExperienceProduction Deployment Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive ModelingAnomaly DetectionData VisualizationMachine LearningDeep LearningData MiningStatistical AnalysisProgramming In JavaProgramming In JavaScriptUNIX/Linux Proficiency
Soft Skills
Data CommunicationStorytelling
Tools & Technologies
GCPBigQueryMachine Learning FrameworksData Visualization Tools
Industry Keywords
Fraud DetectionAI-Driven SolutionsReal-Time DatasetsPatent FilingsScalable Solutions
Tech Stack
Tools & technologiesBigQueryGoogle Cloud PlatformJavaJavaScriptLinuxPythonUnix
About the role
Key responsibilities & impact- Design, build, and implement predictive models with high-dimensional, fast-moving real-time datasets
- Own fraud and abuse risks in a product or product segment
- Partner strategically with product development teams by sharing insights and recommendations through data communication and storytelling
- Use machine learning, AI, deep learning, and data mining techniques to develop anomaly-detection models such as bot detection
- Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally
- Conduct research and pursue US patent filings to address new fraud issues, develop tools, or automate processes
- Collaborate with Data Scientists, Engineers, Product Managers, and business stakeholders to develop scalable AI-driven solutions
Requirements
What you’ll need- Ph.D. in Computer Science, Data Science, Statistics, Machine Learning, or a related quantitative field with 2+ years of industry experience, OR a Master's degree in a related quantitative discipline with 5+ years of relevant machine learning experience
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field, OR Master's degree in those fields and 1 years' experience in an analytics related field, OR 5 years' experience in an analytics or related field
- Proficient in machine learning and data mining packages in Python
- Experience working with large data sets and distributed computing tools; GCP/BigQuery experience preferred
- Programming skills in Java or JavaScript on a UNIX or Linux platform
- Production deployment experience required
- GenAI/Agentic AI experience preferred
- Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship
Benefits
Comp & perks- Incentive awards for performance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans