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Scientist Python Jobs in Seattle, WA (NOW HIRING)

Applied Scientist II

Redmond, WA · On-site

$133K - $219K/yr

Overview We seek an Applied Scientist with expertise in Machine Learning, Generative AI, Agentic ... All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL. * Taking ...

Advanced proficiency with Python for data analysis * Must be fluent in either keras or tensorflow ... Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing;

Research Scientist III Job Location: Seattle, Washington Job Number: AMZ10061595 Position ... Python or related language. Amazon.com is an Equal Opportunity-Affirmative Action Employer ...

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 ...

Bachelor's degree in a technical field such as computer science, computer engineering or related ... Python/Databricks (4+ years) * Presentation and communication (5+ years) * Attribution and causal ...

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Scientist Python information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do scientist python jobs pay per year?

As of Jul 19, 2026, the average yearly pay for scientist python 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.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What job categories do people searching Scientist Python jobs in Seattle, WA look for? The top searched job categories for Scientist Python jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Scientist Python jobs? Cities near Seattle, WA with the most Scientist Python job openings:
Infographic showing various Scientist Python job openings in Seattle, WA as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.
Senior Data Scientist (Multiple Positions)

Senior Data Scientist (Multiple Positions)

TikTok

Bellevue, WA • On-site

Full-time

Re-posted 4 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

87th of 209 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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