Data Scientist 

Job Description

Responsibilities

• Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
• AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior. Support evaluation and optimization of agentic and LLM-based systems.
• Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.
• Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.
• Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights.

Your Expertise:

• 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 3+ years of experience with a Phd degree.
• Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end ML development.
• Skilled in statistical programming (Python or R) and database usage (SQL)
• Demonstrated track record of owning a business or technical domain end-to-end at a prior company: setting your own roadmap, being the accountable expert others escalate to, and driving a problem to resolution.
• Proven ability to communicate clearly and effectively to audiences of varying technical levels
• Ability to work independently, set your own roadmap, and drive cross-functional alignment
• Payments Fraud/Risk Domain expertise is a strong plus.
• Familiarity with evaluating agentic or LLM-based systems (e.g., decision-quality measurement, human-in-the-loop calibration) is a plus.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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