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Python Data Science Jobs in Seattle, WA (NOW HIRING)

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering ... Strong proficiency in Python or R, and advanced SQL for data manipulation and querying.

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering ... Strong proficiency in Python or R, and advanced SQL for data manipulation and querying.

AD, Data Science

Bellevue, WA · On-site

$189K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do ... Programming in Python and ML frameworks. * Experience must also include: * Developing and deploying ...

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

Data Scientist (Data Science)

Everett, WA · On-site

$173K - $234K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering ... Strong proficiency in Python or R, and advanced SQL for data manipulation and querying.

Required Skills: * 5+ years of experience in Data Science * Strong Python (Pandas, NumPy, Scikit-learn) * Good SQL skills * Experience in Machine Learning & Statistical Modeling * Experience with ...

Preferred Qualifications: * 6+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ * Great organizational, analytical, data science skills and intuition

Data Scientist

Bellevue, WA · On-site +1

$112K - $142K/yr

... and optimize data science tools and pipelines. * Code original R/Python scripts, optimize current scripts, and develop analytical reports and models. * Analyze and improve data methods and ...

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Data Science & Analytics Manager Company: The Boeing Company Summary: Boeing Commercial Airplanes ... Python or R. * 5+ years hands-on experience with BI and data visualization tools (e.g., Tableau ...

In this role, you will lead a high-performing team of Data Scientists and Machine Learning ... Strong programming experience in Python or R, with proficiency in SQL and modern data/ML ecosystems.

What you'll do Docusign's Product Data Science team is looking for a Data Scientist Intern to ... Experience with Python or R * Familiarity with data engineering processes. * Highly motivated ...

What you'll do Docusign's Product Data Science team is looking for a Data Scientist Intern to ... Experience with Python or R * Familiarity with data engineering processes. * Highly motivated ...

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Python Data Science information

See Seattle, WA salary details

$15

$66

$98

How much do python data science jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for python data science 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 are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What are popular job titles related to Python Data Science jobs in Seattle, WA? For Python Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Seattle, WA look for? The top searched job categories for Python Data Science jobs in Seattle, WA are:
Infographic showing various Python Data Science job openings in Seattle, WA as of May 2026, with employment types broken down into 67% Full Time, 26% Part Time, 1% Temporary, and 6% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Posted 11 days ago


Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.