Senior Software Engineer, Machine Learning - Remote Eligible

Senior Data Science Engineer - Applied Machine Learning page is loaded## Senior Data Science Engineer - Applied Machine Learning locations:
WA - Seattle:
Remote Work Location time type:
Full time posted on:
Posted Todayjob requisition :
58709

This position is a hybrid role requiring employees to work from our headquarters location in Seattle, WA every Tuesday and Wednesday, and remote all other days.## Hybrid from Seattle is the preferred location but this role is open to fully remote candidates.

Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team!

As a Senior Data Science Engineer for the Applied Machine Learning Team, your job is to leverage advanced analytical techniques and statistical modeling to extract meaningful insights from our vast datasets, driving the development and improvement of our machine learning solutions. You will work with an experienced group of machine learning engineers and researchers with robust research to production culture.
*
* The Role:

*** You will design and implement advanced statistical models and machine learning algorithms to solve complex real estate problems.
* 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.
* You will 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.
* 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.
** Who You Are:
*** 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.
* Required Skills (4+ years of experience):
Python (Scikit-learn, PyTorch, Tensorflow/Keras, Num Py, Pandas, XGBoost), SQL, A/B testing, statistical modeling, data visualization.
* Preferred

Skills:

Spark, Apache Airflow, AWS (S3, Dynamo

DB, Lambda, Kinesis, Sage Maker).
* You communicate cross-functionally and can take a data science project from inception, research, experimentation, validation, and deployment.
* 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.
* Great communicator. You can distill a challenging problem into its essential elements, and clearly communicate your vision and findings to the team.
* You have a Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent work experience.
*
* What We Offer:

*** 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.#LI-JK
** The compensation information below is provided in compliance with all applicable disclosure requirements.
** Base Pay Range: $ - . Actual base pay will depend on varying circumstances, including the position, location, individual qualifications, market finances, and other operational business needs. Compensation may also…