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

Associate Data Scientist

Seattle, WA ยท On-site

$67K - $68K/yr

The Associate Data Scientist will play a hands-on role in supporting the ongoing development ... Technical proficiency in Python or R, and SQL/relational databases. * Familiarity with forecasting ...

Data Scientist

Tukwila, WA ยท On-site +1

$75K - $140K/yr

... as Python, SQL, or Spark to support modeling and analysis. * Explore Data for Strategic ... Support Data Science Excellence: Participate in peer reviews, knowledge-sharing forums, and data ...

... Python, Java, C# or C++ . * Ability to work independently, influence others, and solid ... Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234 ...

Associate Data Scientist

Seattle, WA

$67K - $68K/yr

The Associate Data Scientist will play a hands-on role in supporting the ongoing development ... Technical proficiency in Python or R, and SQL/relational databases. * Familiarity with forecasting ...

Data Scientist

Tukwila, WA ยท On-site +1

$75K - $140K/yr

... as Python, SQL, or Spark to support modeling and analysis. * Explore Data for Strategic ... Support Data Science Excellence: Participate in peer reviews, knowledge-sharing forums, and data ...

Senior Data Scientist

Redmond, WA ยท On-site

$119K - $234K/yr

Experience writing production-quality Python code. * Demonstrated interest in Responsible AI. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700 ...

Associate Data Scientist

Seattle, WA ยท On-site

$67K - $68K/yr

The Associate Data Scientist will play a hands-on role in supporting the ongoing development ... Technical proficiency in Python or R, and SQL/relational databases. * Familiarity with forecasting ...

Principal, Data Scientist

Bellevue, WA ยท On-site

$132K - $264K/yr

A principal data scientist would be expected to play a lead technical role in architecting data ... Strong Python coding skills and able to work with at least one other programming language such as ...

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Python Data Scientist information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do python data scientist jobs pay per year?

As of Jun 23, 2026, the average yearly pay for python data scientist in Seattle, WA is $139,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

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.

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 advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 are popular job titles related to Python Data Scientist jobs in Seattle, WA? For Python Data Scientist jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Python Data Scientist jobs? Cities near Seattle, WA with the most Python Data Scientist job openings:
Infographic showing various Python Data Scientist job openings in Seattle, WA as of June 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $139,691 per year, or $67.2 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The Data Scientist IIย will support clinical and translational data science at the Fred Hutch. The data scientist will use multimodal, real-world healthcare data (electronic health records, registry data, etc.) as well as multimodal data sets generated in clinical and translational labs such as genomics and imaging, to advance our understanding of clinical care and patient outcomes. The data scientist will work on collaborative projects utilizing our OMOP common data model for observational oncology data in combination with diverse multimodal datasets. Projects may include developing predictive clinical models, LLM/AI integrated analyses, statistical modeling to understand patient populations and cancer outcomes, and cohort identification. The data scientist will develop templates and workflows for the data science community at Fred Hutch and play a key role in building ethical data stewardship and management skills across Fred Hutch.

At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.

Responsibilities
  • Participates in collaborative data science projects with academic researchers, oncologists, statisticians, and other partners.
  • Develops reproducible statistical analyses and machine learning models for topics such as: cohort identification, clinical characterization, and patient-level prediction.
  • Thinks critically and communicates clearly throughout the data science lifecycle (problem formulation, data cleaning, EDA, analysis, evaluation, and communication of results).
  • Creates data visualizations, reports, queries, and summaries to communicate findings to collaborators.ย 
  • Supports development and growth of our common data model (OMOP) for real-world, observational health research through investigating data quality, conducting exploratory analysis on new data sources, and making recommendations for data transformation requirements.
  • Identifies, understands and creates multimodal data packages integrating clinical and research laboratory data to create comprehensive descriptions of patient journeys.
  • Collaborates with the translational data science team to develop templates, packages, and documentation for the data science community at Fred Hutch and self-serve analytics users.
  • Ensures analyses meet a high standard for methodological rigor and stays current in methodology for real-world evidence studies.
  • Complies with data governance and data privacy policies.
Qualifications

MINIMUM QUALIFICATIONS:

  • B.A., B.S. in computational biology, biostatistics, computer science, data science, biophysics, bioinformatics, or a related field.
  • Minimum 5 years of experience in data science, bioinformatics, or related disciplines.
    • Graduate degrees can apply towards this minimum (M.A./M.S. = 2 years, PhD = 4+ years)

PREFERRED QUALIFICATIONS:

  • Graduate degree in epidemiology, biostatistics, statistics/mathematics, public health, computational biology, bioinformatics, biology, or a related field.
  • Proficiency in R and/or Python programming.
  • Strong SQL and experience working in cloud-based data ecosystems.
  • Experience working with the OMOP common data model and OHDSI tools.
  • Demonstrated knowledge of machine learning and deep learning.
  • Demonstrated rigor and reproducibility through well organized and well documented code and/or committed to a public code repository.
  • Experience using Git in a collaborative setting.
  • Experience working with standardized medical vocabulary and ontologies (ICD-10, SNOMED, RxNorm, etc.)
  • Experience with data governance processes for working with regulated data (HIPAA, GDPR, etc.).
  • Strong oral and written communication skills, and the ability to prioritize written documentation.
  • Excellent interpersonal and communication skills with audiences with a wide range of data expertise.
  • A functional understanding of medical oncology, cancer epidemiology, or immunotherapy.
  • Proficiency in natural language processing tasks and tools, especially with clinical text.

The annual base salary range for this position is from $104,458 to $165,090, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.ย Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

Additional InformationWe are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Employment Type: FULL_TIME