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

Python developer (data engineering)

Seattle, WA · On-site

$57.25 - $78.75/hr

Python, Django Frontend: Angular, React Ability to design and implement RESTful APIs and integrate ... Collaboration Work closely with data scientists, analysts, and stakeholders to deliver data ...

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

... science interns in the areas of natural language processing, natural language generation, and deep ... Advanced proficiency with Python for data analysis * Must be fluent in either keras or tensorflow

... data science or analytics roles * Deep expertise with Python, SQL, and data visualization tools * Expertise with experimental design, causal inference, statistical modeling, and A/B testing ...

Proficiency with Python and SQL * Experience applying data science within a Marketing or Growth context * Ability to communicate complex analyses as clear recommendations for non-technical audiences ...

This role contributes to the foundational science and analytics capabilities used by Product ... Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of ...

Showing results 41-60

Python Data Science information

See Seattle, WA salary details

$15

$66

$98

How much do python data science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for python data science in Seattle, WA is $66.75, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.82 per hour, depending on experience, location, and employer.

What is a Python data science?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a Python data science do?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What are the key skills and qualifications needed to thrive in the Python data science position?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

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. Salary levels also vary based on certifications and the complexity of projects handled.

Is Python useful for data science?

Python is a widely used programming language in data science, valued for its simplicity and extensive libraries such as Pandas, NumPy, and scikit-learn. Data scientists and analysts often use Python for data manipulation, analysis, and machine learning tasks, making it a key skill in the field.

Which Python Data Science job is in demand?

Data Scientist and Machine Learning Engineer roles are currently in high demand in Python Data Science, especially those with skills in libraries like Pandas, NumPy, and scikit-learn, and experience with cloud platforms. These positions often require strong analytical skills, programming proficiency, and knowledge of statistical modeling or deep learning.

What are the most commonly searched types of Python Data Science jobs in Seattle, WA?

The most popular types of Python Data Science jobs in Seattle, WA are:

What job categories do people searching Python Data Science jobs in Seattle, WA look for?

The top searched job categories for Python Data Science jobs in Seattle, WA are:

Infographic showing various Python Data Science job openings in Seattle, 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 $138,841 per year, or $66.8 per hour.

Data Science: Internship Opportunities - Redmond

Microsoft

Redmond, WA • On-site

$7.4K - $12K/mo

Full-time, Internship

Posted 3 days ago

New


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

80th of 247 rated software companies


Job description

Overview
Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.
As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and/or AI, LLM, SLM and agents, and more to build and improve great products while making business impact. You will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate and empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site careers site
Responsibilities
  • Formulate approaches to solve problems using well defined algorithms and data sources.
  • Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
  • Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
  • Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
  • Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
  • Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.

Qualifications
Required Qualifications:
  • Currently pursuing a Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.
  • Candidate must be enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred Qualifications:
  • Currently pursuing a Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
  • Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.
  • Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#.
  • Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.
  • Some experience and or project course work with product and service telemetry systems.
  • Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal.
  • Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data.

The base pay range for this internship is USD $5,690.00 - $11,210.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,410.00 - $12,250.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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