Staff Data Scientist, Supply and Demand
Foodsmart
AWSPandasPythonScikit-LearnSQL
Senior Data Scientist, Fraud
Mercury
full-time
Posted on:
Location Type: Remote
Location: Remote • California, New York, Oregon • 🇺🇸 United States
Visit company websiteSalary
💰 $166,600 - $208,300 per year
Job Level
Senior
Tech Stack
ETLPythonSQL
About the role
- Detect, monitor, and mitigate first-party fraud (fraudulent applicants) and account takeover (ATO).
- Develop dashboards and monitoring systems to track key fraud and account health metrics.
- Conduct deep-dive analyses to understand fraud trends and behaviors and translate findings into actionable recommendations.
- Build, validate, and deploy machine learning models to identify and prevent fraud in real time.
- Support ad hoc investigations and ensure data quality and reliability across pipelines and tools.
- Collaborate with Risk Strategy and Engineering to optimize rules, scoring systems, and other fraud defenses.
- Partner with cross-functional teams (Engineering, Product, Design, Operations) to embed data insights into decision-making.
Requirements
- 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 1+ years of relevant domain experience.
- Proficiency in SQL and experience using it to understand and manage imperfect data.
- Proficiency in Python and experience with statistical modeling and machine learning.
- Experience deploying and monitoring machine learning models in production.
- The ability to balance high-leverage projects with foundational work such as reporting, dashboarding, and exploratory analyses.
- Comfort working in a fast-paced environment with evolving priorities.
- (Ideal) Experience building zero-to-one solutions in ambiguous or greenfield problem spaces.
- (Ideal) Familiarity with LLMs or other GenAI and how they can be applied to risk or fraud detection.
- (Ideal) Experience with modern data tools for pipelines and ETL (e.g., dbt).
Benefits
- Base salary
- Equity (stock options)
- Benefits (unspecified)
- Remote work options (Remote within Canada or United States)
- Any Office or Remote policy
- Commitment to reasonable accommodations during recruitment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonstatistical modelingmachine learningdata analysisdata qualitydashboardingETLzero-to-one solutionsfraud detection
Soft skills
problem-solvingcollaborationadaptabilitycommunicationanalytical thinkingattention to detailtime managementdecision-makingcreativityinitiative
