Senior Data Scientist

We are hiring a Senior Data Scientist to join our team at Klivvr. What you'll do: Own a domain such as credit, risk, or growth end to end, setting the modeling strategy and being accountable for the systems that result Take on the most ambiguous, highest-stakes problems, including framing what should be built and why before any modeling begins Make and defend the hard technical calls, choosing the simplest approach that solves the problem rather than the most sophisticated one Drive models into production and own their long-term health, performance, and reliability once they're live Set technical direction and standards that other data scientists build on, through design reviews, shared tooling, and engineering practices Mentor data scientists across levels and raise the quality bar for the team's work Translate business strategy into a coherent data science roadmap and communicate tradeoffs clearly to leadership To succeed in this role, you'll need to have: 5+ years of hands-on data science or applied ML experience, with a track record of owning systems in production end to end Deep proficiency in Python (NumPy, pandas, scikit-learn) and SQL, and strong software engineering fundamentals Strong grounding in statistics, probability, and machine learning, with the judgment to know which method actually fits the problem Experience designing and operating large-scale ML systems on cloud platforms (AWS preferred) A demonstrated ability to lead ambiguous, cross-functional initiatives without close guidance Excellent communication skills, including the ability to influence technical and business stakeholders and to make others better through your feedback Show more