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

Associate Data Scientist

Seattle, WA

$67.40K - $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 ...

Associate Data Scientist

Seattle, WA

$67.40K - $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 ...

Associate Data Scientist

Seattle, WA · On-site

$67.40K - $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 ...

... Python and familiarity with data engineering workflows (e.g., Spark, Airflow, SQL). Preferred Qualifications (Desired Skills/Experience): * Master's or PhD in Computer Science, Machine Learning ...

Data Scientists are responsible for driving insights and informing decision making to enhance the ... Proficiency in SQL, PySpark, Python, Machine Learning/Deep Learning, * Proficiency in ML Frameworks:

The Research Data Scientist role involves leveraging advanced statistical methods and machine ... coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Data Scientists are responsible for driving insights and informing decision making to enhance the ... Proficiency in SQL, PySpark, Python, Machine Learning/Deep Learning, * Proficiency in ML Frameworks:

Data Scientist III - AMZ9442729

Seattle, WA · On-site

$163.32K - $215.30K/yr

Data Scientist III Job Location: Seattle, Washington Job Number: AMZ9442729 Position ... Python, Java, or related scripting language; and (3) communicating with users, technical teams, and ...

Job#: 3035128 We are seeking a Data Scientist who is passionate about delivering high-impact, high ... Proficient in Python, bonus if familiar with PySpark. Able to work in a collaborative, diverse and ...

Data Scientists are responsible for driving insights and informing decision making to enhance the ... Proficiency in SQL, PySpark, Python, Machine Learning/Deep Learning, * Proficiency in ML Frameworks:

Data Scientist III

Bellevue, WA · On-site +1

$141K - $225K/yr

Data Scientist III, Experimentation Science Chewy is looking for a Data Scientist I I I to join the ... Advanced object-oriented programming in Python. * Advanced knowledge of SQL. * Experience ...

Data Scientist III

Bellevue, WA · On-site

$141K - $225K/yr

Data Scientist III, Experimentation Science Chewy is looking for a Data Scientist I I I to join the ... Advanced object-oriented programming in Python. * Advanced knowledge of SQL. * Experience ...

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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 3, 2026, the average yearly pay for python data scientist in Seattle, WA is $139,680.00, 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 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 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 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 data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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 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:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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 II 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. 
  • 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. 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