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

Data Scientist II

Seattle, WA · On-site +1

$121.60K - $182.40K/yr

F5, Inc. seeks Data Scientist II in Seattle, WA: Job Duties: Perform data mining and analytics on ... Using Python to clean and process the network data, engineer transaction features, and extract key ...

Data Scientist III

Bellevue, WA · On-site +1

$141K - $225K/yr

Data Scientist III, Experimentation Science Chewy is looking for a Data Scientist I I I to join the ... Advanced object-oriented programming in Python. * Advanced knowledge of SQL. * Experience ...

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

As a Senior Data Scientist, you will lead the design and development of advanced machine learning ... Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow ...

As a Senior Data Scientist, you'll drive execution and play a vital role in building a culture of ... Expertise in programming languages such as Python, R, or SQL, and familiarity with data ...

Data Scientist, Product

Seattle, WA · On-site +1

$155K - $185K/yr

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product ... Holds proficiency in SQL for querying large datasets, and expertise in Python and R for data ...

... Data Scientist. The role involves collecting, cleaning, and preprocessing data, performing ... in Python or R • Experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or ...

New

Research Data Scientist 1

Bellevue, WA · Remote

$95.95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ...

Data Scientist, Product

Seattle, WA · On-site

$155K - $185K/yr

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product ... Holds proficiency in SQL for querying large datasets, and expertise in Python and R for data ...

As a Data Scientist II, you will be a key contributor throughout the entire data science lifecycle ... Strong programming skills in Python or R, with proficiency in data manipulation libraries.

Proficiency in Python, SQL, and data visualization tools * Expertise in experimental design, causal ... science or analytics roles * Experience supporting B2B sales teams with data insights * Strong ...

Extensive hands-on experience of a broad stack of technologies - Python, Huggingface, VectorDB ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Research Data Scientist 1

Bellevue, WA · Remote

$95.95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ...

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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 II

Data Scientist II

F5, Inc.

Seattle, WA • On-site, Remote

$121.60K - $182.40K/yr

Full-time

Retirement

Posted 3 days ago


Job description

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
F5, Inc. seeks Data Scientist II in Seattle, WA:
Job Duties: Perform data mining and analytics on F5 production data to gain insight into cybersecurity risks and threat actors targeting F5 customers. Identify and characterize automated threats against F5 customers' applications and present threat summaries and proposed countermeasures to customer executive, security, and related teams. Conduct interview sessions with the customer management teams to understand the client's requirements, designing data analysis workflow, and conceptualizing the business requirements to mathematical and statistical questions. Extract, transform, and load large amounts of network data using database management tools; use advanced SQL queries to manipulate data from various databases such as Google Cloud Platform and generate consolidated data sources for further analysis. Using Python to clean and process the network data, engineer transaction features, and extract key information from unstructured data; identify false positives and missed automated traffic; recognize the automation trends using entropy analysis, time series analysis, probability distribution and P-value calculation. Conducting root cause analysis on unusual traffic data patterns and security incidents; identify individual web automation campaigns using manual heuristics and use of scripts to discover clusters of low-randomness data and exploring similarities among distinct automation groups using hypothesis testing. Using sampling methods to split data into training and testing datasets; fit the machine learning models to make predictions, validating the model results and tune parameters and evaluating the performance of machine learning models and compute the requisite evaluation metrics. Visualizing network data using Kibana, Python, and custom tooling to identify anomalies; explore patterns and seasonality of the automated transactions and developing customized graphs and visual dashboards to address client requests and share insights with clients. Translating and interpreting analytical findings into compelling business insights, compiling professional slides by using Google Slides or Powerpoint and present statistical results and recommendations to senior executives with evidence-based reasoning and accessible storytelling. Compiling case studies on attack techniques and fraud schemes to be used by marketing and sales representatives, as well as for reference use in customer briefings and internal trainings. Presenting reports to senior executives at F5's customers and gathering client feedback to improve and advance team reporting processes and standards. Telecommuting is an option. Some travel to F5 offices may be required. May travel to various, unanticipated worksites throughout the U.S.
Minimum Requirements: Bachelor's degree, or foreign equivalent, in Computer Science, Mathematics, Statistics, Engineering (any field) or closely related quantitative discipline and two (2) years of experience in job offered or in any occupation in a related field.
Special Skill Requirements: (1) Python, (2) R, (3) Statistical Modeling, (4) Linear/Logistic Regression, (5) HTML, (6) JavaScript, (7) Structured Query Language (SQL), (8) Machine Learning, (9) Data Mining and Visualization, (10) Tableau, PowerBI, or Kibana, (11) Preparation and delivery of technical presentations leveraging advanced data analytics for executive level audiences. Any suitable combination of education, training and experience is acceptable. Telecommuting is an option. Some travel to F5 offices may be required. May travel to various, unanticipated worksites throughout the U.S.
Salary: $121,600 - $182,400 per annum. Benefits: F5 offers competitive pay, 401k, and other benefits: https://www.f5.com/company/careers/benefits.
Submit a resume with references using the apply button on this posting or by email at: PeopleOps@f5.com at Req.# 23-136891.
#LI-DNI
#LI-DNI
You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5's benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com)
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.