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Python R Developer Jobs in Seattle, WA (NOW HIRING)

Kanak Elite Services Inc

Sr ML Platform Manager

Seattle, WA · On-site

$144K - $190K/yr

Proficiency in programming languages such as Python, R, or Java; experience with machine learning frameworks (TensorFlow, PyTorch, etc.); strong understanding of data engineering principles. MLOps ...

Scorpion Therapeutics

Sr. Manager, CX Research

Bothell, WA · On-site

$124K - $207K/yr

Advocate for customer-centric solutions within engineering teams. * Build strategic relationships ... Python/R; tools/software such as Qualtrics, SPSS). * Experience integrating AI into research ...

BrightLine Group

Managing Consultant

Seattle, WA · On-site

$130K - $160K/yr

Quantitative and analytical experience, including programming experience in Python, R, or other modern programming language * Experience utilizing applied statistics, regression analysis, and ...

Google

UX Quantitative Researcher II

Seattle, WA · On-site

Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C , Java, or Go). Preferred qualifications: * Master's degree or PhD in Human ...

Google Inc.

UX Quantitative Researcher II

Seattle, WA · On-site

Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go). Preferred qualifications: * Master's degree or PhD in Human ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$130K - $156K/yr

Deep proficiency in SQL and at least one programming language (Python, R) for data processing and orchestration. * Strong understanding of distributed systems (MapReduce, MPP architectures, NoSQL ...

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Showing results 21-40

All JobsPython R Developer JobsPython R Developer Jobs in Seattle, WA

Python R Developer information

See Seattle, WA salary details

$15

$66

$98

How much do python r developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python r developer in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What is a Python R developer?

Python R Developers are professionals skilled in both the Python and R programming languages, primarily working in data science, analytics, and statistical computing. They leverage the strengths of both languages to process, analyze, and visualize complex data sets. These developers often work in environments where integrating machine learning, statistical modeling, and data engineering is required, and they may build tools or pipelines that utilize both Python and R. Proficiency in both languages allows them to select the best tools and libraries for specific tasks, increasing the efficiency and accuracy of data-driven projects.

What skills and qualifications are needed to thrive as a Python R developer?

To thrive as a Python R Developer, you need strong programming skills in both Python and R, a solid foundation in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, dplyr), data visualization tools, and version control systems (such as Git) is typically required, along with experience using Jupyter Notebooks or RStudio. Effective problem-solving, communication, and the ability to collaborate with interdisciplinary teams are valuable soft skills. These skills ensure robust data solutions, clear reporting, and efficient teamwork in data-driven environments.

How do Python R developers typically collaborate with data scientists and analysts in a project team?

Python R Developers often work closely with data scientists and analysts to design, implement, and optimize data processing workflows. They translate analytical requirements into robust, scalable code, ensuring that models and analyses can be efficiently run in both Python and R environments. Collaboration usually involves frequent code reviews, sharing best practices for interoperability, and integrating tools such as Jupyter Notebooks or RMarkdown for seamless reporting. This teamwork fosters knowledge sharing and helps deliver accurate, reproducible results aligned with project goals.

What is the difference between Python R Developer vs Data Analyst?

AspectPython R DeveloperData Analyst
Required SkillsProficiency in Python and R programming, data manipulation, statistical analysisData interpretation, basic statistical skills, Excel, SQL
Work EnvironmentData science teams, software development projectsBusiness intelligence, reporting, data visualization
Common Industry UsageTech, finance, healthcare, researchMarketing, finance, operations, retail

Python R Developers focus on building data models and algorithms using Python and R, often in technical or research settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Python R Developers typically have stronger programming expertise, whereas Data Analysts excel in data visualization and reporting.

Python R Developer jobs near you
Infographic showing various Python R Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Sr ML Platform Manager

Seattle, WA • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees
Learn more about Kanak Elite Services Incexternal

$144K - $190K/yr

Contractor

Re-posted 15 days ago

Job description

Role: Sr ML Platform Manager
 

Location: Seattle, Washington


LOCALS ONLY , NO RELOCATION CANDIDATE WILL WORK 

Architecture and Infrastructure:

Oversee the architecture of machine learning systems, ensuring scalability, reliability, and performance.

Work with cloud providers (AWS, Azure, Google Cloud) and on-premise solutions to optimize resource utilization and cost-effectiveness.

Model Management:

Develop and manage workflows for model training, validation, deployment, and monitoring.

Implement MLOps practices to streamline the lifecycle of machine learning models.

Collaboration:

Collaborate with cross-functional teams, including product management, data analytics, and IT, to align machine learning initiatives with business goals.

Stay informed about industry trends and emerging technologies to leverage new advancements in the field.

Stakeholder Engagement:

Communicate effectively with stakeholders to understand their needs and translate them into technical requirements and solutions.

Prepare and present reports or dashboards on the performance of machine learning initiatives.

Compliance and Ethics:

Ensure that machine learning practices align with ethical guidelines, data privacy regulations, and organizational policies.

Skills & Educational & Qualification Background: A degree in computer science, data science, engineering, or a related field; advanced degrees (Master's or PhD) are often preferred.

Technical Skills: Proficiency in programming languages such as Python, R, or Java; experience with machine learning frameworks (TensorFlow, PyTorch, etc.); strong understanding of data engineering principles.

MLOps Knowledge: Familiarity with tools and practices for model deployment and monitoring, such as Kubernetes, Jenkins, MLflow, and Docker.

Leadership: Proven experience in leading teams and managing projects, excellent communication skills, and the ability to mentor and develop team members.

Problem Solving: Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges.

Thanks & Regards,

YOGITA

✉️ Yogita@kanakits.com