Senior Data Science Engineer - Applied Machine Learning

Overview

Senior Data Science Engineer building ML models for real-estate recommendations/valuation.

Key Responsibilities

• machine learning
• statistical modeling
• data products
• exploratory analysis
• feature engineering
• model optimization

Tasks

-You will design and implement advanced statistical models and machine learning algorithms to solve complex real estate problems. -You will assist other engineers and stakeholders in understanding and utilizing data science methodologies and findings at Redfin. -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. -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 co-create the next generation of data-driven insights for automated valuation and recommender systems.

Requirements

• python
• aws
• spark
• kafka
• sql
• bachelor's

What You Bring

-You are passionate about inventing and applying advanced analytical and ML techniques to extract insights and solve business problems. -Preferred Skills: Spark, Apache Airflow, AWS (S3, DynamoDB, Lambda, Kinesis, SageMaker). -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. -Great communicator. You can distill a challenging problem into its essential elements, and clearly communicate your vision and findings to the team. -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. -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. -You communicate cross-functionally and can take a data science project from inception, research, experimentation, validation, and deployment.

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Benefits

-Generous benefits, including paid vacation, medical, dental, and vision insurance, and fully paid family leave. -Competitive compensation packages with a salary, bonuses, and restricted stock grants. -A high-growth company, providing opportunities for continued professional development and growth.

About Redfin

-The company blends technology with traditional real estate services, offering a seamless home-buying experience. -The company's services include buying, selling, renting, and mortgage solutions, making it a one-stop platform. -Known for its innovative approach, the company introduced features like 3D home tours and online booking of home showings. -The company operates in a highly competitive market, differentiating itself through technology-driven insights and data.

Sector Specialisms