ZipRecruiter

Log In

1

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

Microsoft

Principal Data Scientist

Redmond, WA · On-site

OR equivalent experience. * 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++. * Great organizational, analytical, data science skills and intuition

TikTok

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242K - $401K/yr

R, Python, MATLAB) and database languages (e.g. SQL) 5. Experience building data science models (Regression, Decision Trees, K-Means, etc.) Preferred Qualifications: 1. Experience with large data ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

... Data Science experience, preferred. * Experience with SQL, Python, and GitHub required ... Experience using Supervised and Unsupervised machine learning methods required. * Experience or ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

... Data Science experience, preferred. * Experience with SQL, Python, and GitHub required ... Experience using Supervised and Unsupervised machine learning methods required. * Experience or ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

... Data Science experience, preferred. * Experience with SQL, Python, and GitHub required ... Experience using Supervised and Unsupervised machine learning methods required. * Experience or ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Sonsoft Inc

Data Science Analytics

Seattle, WA

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

previous pagenext page

Showing results 21-40

All JobsPython Data Science JobsPython Data Science Jobs in Seattle, WA

Python Data Science information

See Seattle, WA salary details

$15

$66

$98

How much do python data science jobs pay per hour?

As of Jul 24, 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 are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

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 does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

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.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
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 are popular job titles related to Python Data Science jobs in Seattle, WA? For Python Data Science jobs in Seattle, WA, the most frequently searched job titles 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:
Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $138,841 per year, or $66.8 per hour.
Principal Data Scientist

Principal Data Scientist

Microsoft

Redmond, WA • On-site

Full-time

Posted 13 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

69th of 217 rated software companies

Job description

Overview
We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.
We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
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 to 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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
  • Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
  • Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
  • Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
  • Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
  • Make independent decisions for the team and handle difficult tradeoffs
  • Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++.
  • Great organizational, analytical, data science skills and intuition .
  • Fantastic problem solver: ability to solve problems that the world has not solved before.
  • Interpersonal skills: cross-group and cross-culture collaboration.
  • Experience with real world system building and data collection, including design, coding and evaluation .
  • Excellent communication to be able to communicate insights to senior leaders.
  • Experience with driving large collaboration across multiple teams.
  • Experience with communicating with different audiences to provide insights
  • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

#MicrosoftAI
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. 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 $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Microsoft logo

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

Social media

FacebookTwitter

View All Microsoft Jobs

Apply