Senior Staff Data Scientist

What You’ll Bring

We’re looking for a curious and proactive data scientist with a passion for fintech, a strong grasp of customer behavior, and experience in building scalable solutions.

• Education & Experience:

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field (equivalent experience will also be considered).
  • 10+ years of experience in data science or product analytics, preferably in fintech, with expertise in predictive modeling, customer segmentation, and experimentation.

• Strategic & Analytical Skills:

  • Ability to develop data-driven strategies that drive significant business growth and enhance customer value.
  • Strong hypothesis generation based on customer behavior, industry trends, and market dynamics, with a preference for experience in fintech or SMB sectors.
  • Experience designing and interpreting complex experiments beyond standard A/B testing methodologies.
  • Proven ability to build scalable, reusable analytics solutions that improve efficiency and reduce redundant work.

• Communication & Collaboration:

  • Exceptional communication skills, with the ability to influence stakeholders and build consensus across teams.
  • Fast learner, adaptable, and capable of working independently or collaboratively in a dynamic environment.

• Technical Expertise:

  • Proficiency in advanced SQL and data visualization tools such as Qlik, Tableau, or Plotly Dash.
  • Strong analytical and modeling capabilities using Python (leveraging libraries like NumPy, Pandas, and Scikit-learn).
  • Familiarity with Linux/OS X command line, version control (Git), and general software development principles.

• Preferred Qualifications:

  • Experience tackling growth-related challenges in fintech, particularly within consumer or SMB markets.
  • Familiarity with Generative AI and other emerging technologies to extract insights from multi-modal data.
    

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