KA
KalderosDirector of Data Science
Director of Data Science at Kalderos overseeing data functions and mentoring teams while driving product development. Focus on improving healthcare pricing transparency with data analytics.
About the role
- Develop, optimize, and maintain models for payment optimization, fraud detection, and LTV prediction.
- Build robust end-to-end ML workflows, including data collection, feature engineering, model development, and evaluation.
- Collaborate with Product and Engineering to deploy models into production environments and monitor performance.
- Design and analyze A/B tests and other experiments to assess model impact.
- Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience developing and deploying machine learning models in production.
- Proficiency in SQL, Python (e.g. Pandas, NumPy, Scikit-learn, LightGBM); experience with distributed computing tools such as Spark or PySpark.
- Deep expertise in statistical modeling and machine learning, including Bayesian methods.
- Familiarity with tools like Databricks, Snowflake, Airflow, GitHub.
- Experience designing and analyzing A/B tests and other experiments.
- Experience with data visualization and exploration tools such as Tableau, Looker.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.
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