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
- Design and implement advanced statistical models and machine learning algorithms to solve complex real estate problems.
- Perform comprehensive Exploratory Data Analysis (EDA) to understand data structure, distributions, and anomalies.
- Apply feature engineering techniques—including transformation, selection, and creation—to optimize model performance.
- Co-create the next generation of data-driven insights for automated valuation and recommender systems.
- Identify and implement improvements to ML models that power production-scale customer-facing experiences.
- Assist other engineers and stakeholders in understanding and utilizing data science methodologies and findings at Redfin.
- Build data products and analytical tools that drive some of the company's most critical metrics and impact revenue growth.
Requirements
- 5+ years of experience in data science, statistical modeling, and software engineering.
- Experience with open-source data science tools.
- Experience with Recommender Systems is a plus.
- Python (Scikit-learn, PyTorch, Tensorflow/Keras, NumPy, Pandas, XGBoost), SQL, A/B testing, statistical modeling, data visualization (4+ years of experience).
- Preferred Skills: Spark, Apache Airflow, AWS (S3, DynamoDB, Lambda, Kinesis, SageMaker).
- Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent work experience.
Benefits
- Competitive compensation packages with a salary, bonuses, and restricted stock grants.
- Generous benefits, including paid vacation, medical, dental, and vision insurance, and fully paid family leave.
- A high-growth company, providing opportunities for continued professional development and growth.
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