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

We are looking for a Data Scientist with strong experience in Python, SQL, and Machine Learning. The candidate should be comfortable working with large datasets, building predictive models, and ...

Title: Sr Data Scientist Client: Savers Inc Location: Seattle, Washington, Preferred Hybrid, 2 days ... Solid Python programming skills with experience building production-grade ML code * Experience with ...

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. * Create analyses that generate insights for business teams. * Design ...

Advanced proficiency with Python for data analysis * Must be fluent in either keras or tensorflow ... Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing;

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. * Create analyses that generate insights for business teams. * Design ...

Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a ... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

New

Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a ... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

New

Work with senior management, technical and client teams in order to determine data requirements ... Python/Databricks (4+ years) * Presentation and communication (5+ years) * Attribution and causal ...

Data Scientist

Seattle, WA · Hybrid

$60 - $65/hr

Perform analysis using SQL and Python on large datasets * Partner cross-functionally to define metrics and measure impact Must-Have Qualifications * 3-5+ years of data science or analytics experience

... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

As a Senior Data Scientist, you will develop, validate, and deploy scalable data models that drive ... such as Python, SQL, and Java for code development, testing, and model deployment. • Strong ...

... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

This role involves applying data science skills to drive data-driven decisions and develop models ... Python and R and SQL-like query languages. • Experience in applying statistics, designing ...

Principal Data Scientist

Redmond, WA · On-site

$188K - $304.20K/yr

... languages like Python/R/MATLAB/C#/Java/C++ * Experience in applying statistics, designing ... Preferred Qualifications: * Organizational, analytical, data science skills and intuition

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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 May 31, 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 job categories do people searching Python Data Scientist jobs in Seattle, WA look for? The top searched job categories for Python Data Scientist jobs in Seattle, WA 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:
Data Scientist

Data Scientist

Staffingine LLC

Redmond, WA • On-site

Contractor

Posted 28 days ago


Job description

Job Title: Data Scientist

Location: Redmond, WA (Onsite)
Interview: 2 Rounds (2nd Round Face-to-Face)
Local Candidates Only

Rate: Open

Job Summary:

We are looking for a Data Scientist with strong experience in Python, SQL, and Machine Learning. The candidate should be comfortable working with large datasets, building predictive models, and generating business insights. This is a fully onsite role in Redmond, WA.

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 Cloud (Azure/AWS/GCP)
  • Data visualization experience (Power BI/Tableau preferred)

Preferred:

  • NLP or Deep Learning
  • MLOps knowledge