Principal Data Scientist

Location: On site / Hybrid Cities include: San Francisco CA, New York, Chicago, IL Scottsdale, AZ

Onsite: 30 mins in candidate location

Role Overview: Hands‑on Principal Data Scientist responsible for designing, building, deploying, and maintaining production machine‑learning models in financial services. Key Responsibilities70–100% hands‑on coding and model development Build & deploy ML models into production Maintain & triage production models (performance, accuracy, failures) Work cross‑functionally with Product, ML, DS, and Customer Analytics teams Provide internal and external thought leadership Help scale the data science organization Work with large datasets (only 1–2 models deployed per year, but high‑impact) Required Technical Skills Must‑havesPySpark or Scala Python SQLIndustry / Experience RequirementsUnderstanding of banking regulations Deep experience with production ML models and risk modeling Financial services background Risk model experience Triaging model performance issues AWS ML/SageMaker production model deploymentSeniority levelExecutiveEmployment typeFull‑timeJob functionFinance Financial Services and BankingWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.