Senior Data Scientist (Flex Pay)

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San Francisco, United States Posted October 2, 2026

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Remote Full-time Senior
Salary Range

$100,000 - $150,000

Job Description

Join our team as a Senior Data Scientist, where you will build and maintain credit and fraud policy simulators, deploy statistical models and machine learning algorithms, and analyze large datasets. You will collaborate with cross-functional teams and stay up to date with the latest trends in data science and fintech. Enjoy benefits such as a stock option plan, 100% paid medical, dental, and vision insurance, flexible PTO, paid parental leave, and opportunities for professional growth and development.

  • Construire et maintenir des simulateurs de politiques de crédit et de fraude pour garantir le bon fonctionnement des systèmes.
  • Développer et déployer des modèles statistiques et des algorithmes d'apprentissage automatique pour résoudre des problèmes commerciaux.
  • Analyser de grands ensembles de données structurées et non structurées en utilisant SQL, Python ou des outils similaires.
  • Experience and/or strong interest in machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred
  • Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline
  • Proactive, driven, and ability to work in a fast paced environment
  • 3-5+ years of hands-on experience in a data science or analytics role, preferably in financial services
  • Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.)
  • Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL
  • Experience with AI tools such as Claude
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value
  • Experience with data technologies like PySpark
Required Skills
data science machine learning collaboration cross-functional collaboration statistics SQL Python pandas NumPy scikit-learn Tableau Power BI Spark
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