Data Scientist (Fraud Analytics) Remote position
- Design, develop, and maintain production-ready fraud detection models, including supervised, unsupervised, and hybrid approaches.
- Partner with engineering to operationalize models developed from fraud vectors such as identity theft, refund fraud, account takeover, and abuse of tax credits.
- Engineer features from high-volume, multi-source datasets spanning user behavior, device signals, tax attributes, and payment data.
- Independently evaluate and select modeling approaches based on fraud typology, data availability, and operational constraints.
- Define and own model evaluation frameworks to include stability metrics and false-positive analyses.
- Conduct deep-dive analyses on fraud trends and report schemes.
- Translate analytical findings into actionable recommendations for fraud strategy, controls, and product changes.
- Ensure fraud models adhere to data privacy, security, and regulatory standards.
- Proactively communicate statuses, risks, and trade-offs to stakeholders where applicable.
- Maintain comprehensive documentation of model logic, assumptions, validations results, and known limitations.
- Improved detection rates for high-risk fraud scenarios without disproportionate increases in false positives.
- Reduced friction for low-risk users through accurate risk segmentation.
- Successful deployment and ongoing reliability of fraud models in production.
- Clear, audit-ready documentation to support regulatory review.
- Early identification and mitigation of model drift.
- Bachelor’s degree required; master’s preferred in Data Science, Computer Science, Cybersecurity, or related field.
- 7+ years of experience in fraud detection and prevention, preferably in FinTech or tax services.
- Expertise in model evaluation, validation, bias mitigation, and explainability in regulated domains.
- Strong experience with complex fraud scoring or high-throughput decision systems.
- Experience translating complex analytical concepts to technical and non-technical stakeholders.
- Strong project management and time management skills, with a demonstrated ability to prioritize high-impact work.
- Proven ability to work independently and drive initiative from concept to production.
- Advanced proficiency in ML frameworks (TensorFlow, PyTorch).
- Advanced proficiency in Python, SQL, and data science libraries for modeling and analysis.
- Experience with model lifecycle management, version control, and reproducible experimentation.
- Demonstrated success developing and deploying complex fraud detection algorithms in production.
- This is a remote role.
- Work is performed in a standard office environment with minimal physical demands.
- Must be able to work at a computer for extended periods.
- We offer flexible remote and/or hybrid work options when possible, depending on the role.
- Exempt Salaried employees receive a generous PTO bank, in addition to Paid Holidays.
- Insurance: Medical, Dental, and Vision insurance offerings from Aetna and SunLife. Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family.
- 401K with 150% match on up to 3% contribution
- Performance-based bonus and salary review process
- Other offerings: Wellness Program, Life Insurance for employee, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Education Assistance, company-paid parking, on-site fitness facility, and a company store.
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