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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 +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 ...

Only W2, No C2C - Onsite We are seeking a Data Scientist with a strong background in marketing ... Experience programming in Python, R, or related language Preferred Qualifications: * PhD in ...

Data Scientist

Bellevue, WA · On-site +1

$147K/yr

As a lead data scientist, you will partner with stakeholders, program managers, and other data ... D.) managing and analyzing large-scale data using Python, R, or similar languages * 6+ years of ...

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 ...

Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML ... science, product analytics, or a similar quantitative role. #LI-RO The pay range for this role is ...

... 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 ...

Principal Data Scientist

Redmond, WA · Hybrid

$188K - $304K/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 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.
Data Scientist

Data Scientist

Staffingine LLC

Redmond, WA • On-site

Contractor

Posted 22 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