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Senior Data Science Engineer - Applied Machine Learning
Redfin
Design and implement ML models for real estate solutions, driving data products and insights.
8d ago
$138,200 - $187,000
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Seattle, WA
Hybrid
Company Size
5,000 Employees
Service Specialisms
Painting
Countertops
Flooring
Carpeting
Tile reglazing
Fixture upgrades
Lighting upgrades
Popcorn ceiling removal
Sector Specialisms
Residential
Rentals
Role
What you would be doing
statistical modeling
machine learning
data products
eda
feature engineering
model optimization
- 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.
- 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.
- You will assist other engineers and stakeholders in understanding and utilizing data science methodologies and findings at Redfin.
What you bring
python
aws
spark
sql
bachelor's
communication
- 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 are passionate about inventing and applying advanced analytical and ML techniques to extract insights and solve business problems.
- 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 a Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent work experience.
- You communicate cross-functionally and can take a data science project from inception, research, experimentation, validation, and deployment.
- 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.
- A high-growth company, providing opportunities for continued professional development and growth.
- 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.
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Interview process
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Company
Overview
Founded 2004
Year Founded
The company was established in 2004, revolutionizing the real estate market with its online platform.
Millions Served
Users Assisted
The company has expanded its services nationwide, assisting millions of users across the U.S.
2023 Update
Current Status
The company continues to lead in online real estate, disrupting traditional models as of 2023.
- 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.
- Customer-centric approach
- Ownership mindset
- Data-driven decisions
- Transparent operations
- Collaborative teamwork
- Continuous growth and development
Net Zero by 2040
Carbon Emissions Goal
Aim to achieve net zero emissions across operations and supply chain.
- Focus on reducing carbon emissions across operations.
- Promotes energy efficiency in office spaces.
- Supports remote work to lower commuting-related emissions.
- Participates in sustainable real estate practices, including homes with energy-efficient features.
- Works with partners to provide green-certified homes and eco-friendly services.
45% women employees
Workforce Diversity
This reflects the proportion of female employees across the company, highlighting gender representation in the workforce.
40% underrepresented minorities
Leadership Representation
This percentage highlights the proportion of underrepresented minorities and women in leadership roles, showcasing progress toward equitable representation at senior levels.
- Dedicated to building an inclusive and diverse workplace.
- Set specific gender and racial equity goals, focusing on increasing underrepresented groups in leadership roles.
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