Senior Data Science Engineer - Applied Machine Learning

Description

• You will co-create the next generation of data-driven insights for automated valuation and recommender systems.
• You’ll perform comprehensive Exploratory Data Analysis (EDA) to understand data structure, distributions, and anomalies, and apply feature engineering techniques—including transformation, selection, and creation—to optimize model performance.
• Identify and implement improvements to ML models that power production-scale customer-facing experiences.
• You will assist other engineers and stakeholders in understanding and utilizing data science methodologies and findings at Redfin.
• You will design and implement advanced statistical models and machine learning algorithms to solve complex real estate problems.
• You'll build data products and analytical tools that drive some of the company's most critical metrics and impact revenue growth. We are helping create the best possible home buying or selling experience, one feature at a time.

Requirements

• You communicate cross-functionally and can take a data science project from inception, research, experimentation, validation, and deployment.
• You have experience developing large-scale data applications backed by relational and non-relational databases – we utilize Kafka, Java, Python, Postgres, SQL, K8s, Jenkins, and Airflow in AWS.
• You have 5+ years of experience in data science, statistical modeling, and software engineering, including experience with open-source data science tools; experience with Recommender Systems is a plus.
• Preferred Skills: Spark, Apache Airflow, AWS (S3, DynamoDB, Lambda, Kinesis, SageMaker).
• You have a Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent work experience.
• Required Skills (4+ years of experience): Python (Scikit-learn, PyTorch, Tensorflow/Keras, NumPy, Pandas, XGBoost), SQL, A/B testing, statistical modeling, data visualization.
• Great communicator. You can distill a challenging problem into its essential elements, and clearly communicate your vision and findings to the team.
• You are passionate about inventing and applying advanced analytical and ML techniques to extract insights and solve business problems.

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.

Training + Development

Interview process

Visa Sponsorship

Security clearance