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Python Data Scientist Jobs in Olympia, WA (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Olympia, WA · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

GDIT

Biostatistician

Joint Base Lewis Mcchord, WA · On-site

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Datasource, Data ... Strong proficiency in Python or R for analytics, ML, and data manipulation, with disciplined ...

State of Washington

Statewide Equity Analyst

Olympia, WA · On-site +1

$110K - $115K/yr

You will apply data science, informatics, and evaluation methods to develop meaningful analyses ... Design and implement reproducible analytical processes using tools such as SQL, Python, R, Power BI ...

Teradata Corporation (SE)

Developer Advocate

Olympia, WA · On-site

$102 - $153/hr

As a Developer Advocate, you will help data engineers, analysts, data scientists, and AI builders ... Proficiency in Python and at least one other common programming language, such as JavaScript, Go ...

New

Archgroup

AVP, Strategic Analysts

Home, WA · Remote

$104K - $129K/yr

Desired Skills/Experience * 5+ years of Python developmentexperience * P&C insurance business ... Education * College degree in Computer Science, Engineering, Data Analytics, or ...

Archgroup

AVP, Strategic Analysts

Home, WA · Remote

$104K - $129K/yr

Desired Skills/Experience * 5+ years of Python developmentexperience * P&C insurance business ... Education * College degree in Computer Science, Engineering, Data Analytics, or ...

State of Washington

Statewide Equity Analyst

Olympia, WA · On-site +1

$110K - $115K/yr

You will apply data science, informatics, and evaluation methods to develop meaningful analyses ... Design and implement reproducible analytical processes using tools such as SQL, Python, R, Power BI ...

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Showing results 21-40

All JobsPython Data Scientist JobsPython Data Scientist Jobs in Olympia, WA

Python Data Scientist information

See Olympia, WA salary details

$40.2K

$131.6K

$210.7K

How much do python data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for python data scientist in Olympia, WA is $131,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $145,800.00 per year, depending on experience, location, and employer.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What are popular job titles related to Python Data Scientist jobs in Olympia, WA?

For Python Data Scientist jobs in Olympia, WA, the most frequently searched job titles are:

What job categories do people searching Python Data Scientist jobs in Olympia, WA look for?

The top searched job categories for Python Data Scientist jobs in Olympia, WA are:

What cities near Olympia, WA are hiring for Python Data Scientist jobs?

Cities near Olympia, WA with the most Python Data Scientist job openings:

Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Olympia, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,614 per year, or $63.3 per hour.

Data Governance Lead (Part Time)

DatamanUSA, LLC

Olympia, WA • On-site

Other

Posted 2 days ago

New

Job description

DatamanUSA has an exciting opportunity for a Data Governance Lead to work with one of our direct clients in Olympia, WA.
Job Title: Data Governance Lead
Duration: 09 months (with option to extend)
Location: Olympia, WA (Remote)

20 hours per week per role (part-time)

***Remote with on-site availability as needed per program requirements. ***


Required Qualifications:

  • Bachelor's Degree including 12 semesters or 18 quarters of computer science coursework.
  • Seven (7) years of consultative, administrative, or supervisory experience in IT analysis, data analysis, system maintenance, troubleshooting, or enterprise-level data environments.
  • 5+ years of hands-on data-focused leadership (architecture, migration, and/or governance).
  • Experience with enterprise data models, flows, governance, metadata, and lineage.
  • Experience with data integration, data quality, and migration/conversion patterns.
  • Working knowledge of Application Programming Interface (API)-based data services, cloud data tools, and modern platforms.
  • Experience with SQL, NoSQL, and cloud data technologies.
  • Understanding of regulatory data requirements, privacy standards, and security controls.
  • Demonstrated experience leading or contributing to large-scale data migration efforts including profiling, mapping, cleansing, transformation, validation, reconciliation, and conversion readiness.
  • Experience with integration patterns such as APIs, ETL/ELT workflows, messaging frameworks, event-driven pipelines, and service-oriented architectures.
  • Hands-on experience with cloud ecosystems (Azure, AWS, or Google Cloud Platform), including data storage, processing, serverless functions, and data security controls.
  • Familiarity with container platforms (Docker, Kubernetes) as they relate to data processing workloads.
  • Proficiency with modern development languages (Java, C#, Python, NodeJS) and associated data manipulation capabilities.
  • Experience applying Zero Trust principles, encryption standards, authentication/authorization frameworks, and data security controls across platforms.
  • Deep knowledge of data lifecycle management including ingestion, storage, transformation, integration, consumption, archival, retention, and destruction.

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