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

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale ... College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale ... College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data ...

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Showing results 1-20

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 26, 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:

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.

Sr. Exploitation Specialist/Data Scientist (TS/SCI)

Joint Base Lewis Mcchord, WA

Culmen International LLC
International Affairs • 51 - 200 employees

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago


Job description

Culmen International is hiring Sr. Exploitation Specialist/Data Scientiststo provide support on-site at the National Geospatial-Intelligence Agency (NGA)inJoint Base Lewis -McChord, Washington, supporting an Analysis Office (AOT/US SOCOM).

The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). 


The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

  • Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
  • 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Experience supporting IC operations
  • Must have a background with intelligence experience, where they provided analysis and/or data science to an intelligence mission.
  • Must be able to operate at a senior level and in an independent environment.
  • Must be proficient at creating processes around large data sets to identify analytical discoveries,
  • Must be able to script at a Senior Level in python.
  • Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
  • Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
  • Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
  • Strong SQL skills and experience querying relational databases.
  • Experience using Git-based version control platforms such as GitLab or GitHub.
  • Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
  • Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
  • Ability to write clear, concise technical documentation related to software systems and automated workflows.
  • Ability to operate independently at a senior level with limited oversight.
  • Familiarity with USSOCOM and broader U.S. military organizational structures.
  • Familiarity with common Intelligence Community (IC) data repositories.
  •  

Must be able to support:

  • An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR
  • An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206
  • An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning

  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments.

  • Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen,

    and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 
  • 401k – Vested immediately and 4% match
  • Life insurance and disability paid by the company
  • Supplemental Insurance Available
  • Opportunities for Training and Continuing Education
  • 12 Paid Holidays  

To learn more about Culmen International, please visit www.culmen.com

At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants.  Our commitment to these principles is unwavering across all our operations worldwide.

The determination of compensation at Culmen International, LLC is based on various factors such as location, the individual's unique combination of education, knowledge, skills, competencies, clearance level, experience, internal equity, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $120,000-150,000 annually. This estimate represents the typical salary range for this position and is just one component of Culmen's total compensation package for employees.