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

A principal data scientist would be expected to play a lead technical role in architecting data ... Strong Python coding skills and able to work with at least one other programming languagesuch as ...

Staff, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

A Staff data scientist would be expected to play an important role in developing and scaling data ... Strong Python coding skills and able to work with at least one other programming language such as ...

... SQL, Python, or R. * 5+ years of experience designing and analyzing experiments and causal ... Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800.00 ...

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 ...

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 ...

We are seeking an analytical and innovative Data Scientist to join our Data & AI team. You will ... Proficiency with Python and major ML/data libraries (e.g., Pandas, Scikit-learn, TensorFlow ...

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 ...

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 ...

We are seeking an analytical and innovative Data Scientist to join our Data & AI team. You will ... Proficiency with Python and major ML/data libraries (e.g., Pandas, Scikit-learn, TensorFlow ...

Research Data Scientist 1

Bellevue, WA · Remote

$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 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.
Senior Data Scientist (Multiple Positions)

Senior Data Scientist (Multiple Positions)

TikTok

Bellevue, WA • On-site

Full-time

Posted 8 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

116th of 191 rated software companies


Job description

Job Summary:
TikTok is the leading destination for short-form mobile video, and they are seeking a Senior Data Scientist to provide insights that influence product development. The role involves applying advanced statistics and machine learning to analyze data, partner with various teams, and mentor junior Data Scientists.
Responsibilities:
• Provide insights to influence product development using advanced statistics, machine learning (ML), and programming.
• Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
• Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
• Build classification and clustering machine learning models to understand data characteristics.
• Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences.
• Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
• Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and millions of businesses.
• Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Mentor junior and intern Data Scientists.
Qualifications:
Required:
• Must have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Operations Research, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Operations Research, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.
• Of the required experience, must have 2 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and R for metrics creation, root cause analysis, and model preprocessing;
• Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification;
• Analyzing large quantities of data to detect anomalies using Python and statistical analysis techniques;
• Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
• Building, tuning, and validating statistical models for regression and classification problems in Python and R.
Company:
TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance. Founded in 2003, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

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