Senior Data Science Engineer - Applied Machine Learning at Red Hat

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Real Estate, TechnologyIndustries

Requirements

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, NumPy, Pandas, XGBoost), SQL, A/B testing, statistical modeling, data visualization
Preferred Skills: Spark, Apache Airflow, AWS (S3, DynamoDB, Lambda, Kinesis, SageMaker)
Ability to communicate cross-functionally and take a data science project from inception, research, experimentation, validation, and deployment
Passionate about inventing and applying advanced analytical and ML techniques to extract insights and solve business problems
Experience developing large-scale data applications backed by relational and non-relational databases (utilizing Kafka, Java, Python, Postgres, SQL, K8s, Jenkins, and Airflow in AWS)
Great communicator who can distill a challenging problem into its essential elements and clearly communicate vision and findings to the team
Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
Hybrid role requiring work from Seattle, WA headquarters every Tuesday and Wednesday (fully remote candidates also considered)

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
Build data products and analytical tools that drive the company's most critical metrics and impact revenue growth

Skills

Key technologies and capabilities for this role

Machine LearningStatistical ModelingML AlgorithmsMulti-modal DataML InfrastructureData AnalysisProduction ML Systems

Questions & Answers

Common questions about this position

Is this position remote or hybrid?

This is a hybrid role requiring employees to work from the headquarters in Seattle, WA every Tuesday and Wednesday, with remote work all other days; fully remote candidates are also open to apply.

What experience is required for this Senior Data Science Engineer role?

Candidates need 5+ years of experience in data science, statistical modeling, and software engineering, including experience with open-source data science tools.

What does the Applied Machine Learning team at Redfin work on?

The team works on foundational real estate problems like recommendations and price estimation using large-scale multi-modal property data, and owns end-to-end production-grade ML infrastructure serving hundreds of millions of consumers.

What salary or compensation does this role offer?

This information is not specified in the job description.

What skills make a strong candidate for this position?

Strong candidates have 5+ years in data science, statistical modeling, and software engineering; experience designing advanced ML models, performing EDA, feature engineering, and building production-scale data products.

Red Hat

Open-source enterprise software and cloud solutions

About Red Hat

Red Hat specializes in open-source software solutions for large organizations and enterprises, focusing on cloud computing and enterprise software. Its main product, Red Hat OpenShift, is a Kubernetes-based platform that allows businesses to manage containerized applications efficiently across various cloud environments. This platform supports fast deployment and easy integration, helping companies modernize their IT infrastructure without being tied to a single cloud provider. Red Hat operates on a subscription-based model, where clients pay for access to software, updates, and customer support, along with professional services like consulting and training. Additionally, Red Hat offers a marketplace for certified enterprise software compatible with OpenShift, providing tools that enhance application performance and reduce costs. The company's goal is to enable enterprises to effectively manage and scale their IT infrastructure using open-source solutions.

Raleigh, North CarolinaHeadquarters

1993Year Founded

ACQUISITIONCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Family Planning Benefits

Tuition Reimbursement

Risks

Competition from SUSE and Canonical in Kubernetes and cloud offerings is intensifying.

Over-reliance on AWS partnerships may limit Red Hat's flexibility and bargaining power.

Rapid AI advancements could outpace Red Hat's current offerings, requiring significant investment.

Differentiation

Red Hat specializes in open-source solutions for enterprise software and cloud computing.

Red Hat OpenShift offers a Kubernetes-based platform for managing containerized applications.

Red Hat's marketplace provides certified enterprise software compatible with OpenShift.

Upsides

Growing demand for hybrid cloud solutions boosts Red Hat's market opportunities.

Expansion in AI and machine learning supports Red Hat's RHEL AI capabilities.

Increased focus on sustainability aligns with Red Hat's resource-efficient open-source solutions.

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