Data Scientist
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Requirements
• 5+ years of experience in data science or quantitative modeling, ideally in risk or fraud contexts • Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.) • Strong working knowledge of Python, R, Spark, SQL, or equivalent • Sharp critical thinking and creative problem-solving skills with a bias toward action • Proven ability to explain complex technical findings to non-technical stakeholders and clients
Responsibilities
• Champion a data-first approach across internal teams and client engagements. • Build and deploy machine learning models to prevent fraud across diverse fintech use cases. • Use data and models to support the development of risk mitigation strategies while preserving user experience. • Work directly with clients to understand challenges and deliver high-impact, data-driven solutions. • Evolve our risk metrics, supporting datasets, and how we measure causal impacts of initiatives. • Collaborate with engineering to scale models into production and optimize performance.
Benefits
• USAEstimated Base Salary $160K – $190K • Offers Equity • CanadaEstimated Base Salary CA$175K – CA$210K • Offers Equity • The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range. • Please note: to ensure that candidates select the most relevant jobs for their skills, we have set up limits to the number of times candidates can apply. • The following limits apply to all roles at Sardine: • Candidates may not apply more than 3 times in any 60 day span for any job. • Candidates may not re-apply to the same role within 90 days. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here
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