ZipRecruiter

Log In

1

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

Microsoft AI

Senior Data Scientist

Redmond, WA · On-site

Microsoft AI is seeking a Senior Data Scientist to join the Bing organization, which focuses on ... Python, Java, C# or C++. • Ability to work independently, influence others, and solid ...

Weyerhaeuser Company

Senior Data Scientist

Seattle, WA · On-site

Experience communicating insights using Power BI or Python-based visualization libraries such as Plotly and Matplotlib. * Experience with modern cloud platforms and data architectures, including AWS ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

... Python, Java, C# or C++ . * Ability to work independently, influence others, and solid ... Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234 ...

Amazon

Data Scientist, Prime Video

Seattle, WA · On-site

Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of data scientist experience - 3+ years of machine learning/statistical modeling data analysis tools and ...

next page

Showing results 1-20

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

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 Jul 14, 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.

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 advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, 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 industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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 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 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 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:
Python Data Scientist jobs near you

Senior Data Scientist

Microsoft AI

Redmond, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Microsoft AI is seeking a Senior Data Scientist to join the Bing organization, which focuses on advancing predictive models, product analysis, and online experimentation methods. The role involves developing insights and metrics that guide product and strategic decisions to enhance user engagement and growth.
Responsibilities:
• Develop highly accurate forecast models powering insights for business and product risks and opportunities
• Drive impact analysis for features critical to agile course correction and business investments
• Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals
• Define, build and track success metrics for Bing customer satisfaction and retention. Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria.
• Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
• Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics.
Qualifications:
Required:
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
Preferred:
• 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.
• Experience with SQL-like query languages.
• Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++.
• Ability to work independently, influence others, and solid communication and collaboration skills.
• Familiarity with search engines, dealing with online instrumentation.
• Experience with large datasets and interest in consumer online search behaviors.
• Experience with building machine learning models on large scale data.
Company:
Microsoft AI is a software development company. Founded in 2024, the company is headquartered in Redmond, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Apply