Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
About the role
- 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).
- 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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