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TaxSlayer · 3 hours ago

Data Scientist (Fraud Analytics)

United States

Full-time

Remote

Senior Level

7+ years exp

TaxSlayer is a tax software company empowering individuals and small businesses to file their taxes online. The Data Scientist (Fraud Analytics) will design and deploy fraud detection models, collaborating with various teams to enhance fraud prevention controls while ensuring a quality experience for legitimate users.

SoftwareTax Preparation

Responsibilities

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

Qualification

Fraud detection modelsMachine Learning frameworksPythonSQLModel evaluationData Science librariesProject managementTime managementIndependent workCommunication skills

Required

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

Benefits

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.

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

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

Company store.