Senior Data Science Engineer leveraging advanced analytical techniques to drive machine learning solutions at Redfin. Collaborating in a hybrid environment to redefine real estate in the customer’s favor.
Responsibilities
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).
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