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

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Proficiency in programming languages including Python, SQL, and Java for code development, testing ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Proficiency in programming languages including Python, SQL, and Java for code development, testing ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities As Director, Data Science, you will lead and develop a team that ... Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example ...

Walmart

Director- Data Science

Bellevue, WA

$156K - $312K/yr

Position Responsibilities AsDirector, Data Science, you will lead and develop a team that enables ... Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$169K - $338K/yr

Proficiency in programming languages including Python, SQL, and Java for code development, testing ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

MCG Health

Director, Data Science

Seattle, WA · On-site

$177K - $248K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Strong proficiency in Python and modern machine learning frameworks such as PyTorch. * Experience ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

Technical understanding of machine learning, statistics, data science, and related fields Proficient user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to ...

Staffingine LLC

Data Scientist

Redmond, WA · On-site

Required Skills: * 5+ years of experience in Data Science * Strong Python (Pandas, NumPy, Scikit-learn) * Good SQL skills * Experience in Machine Learning & Statistical Modeling * Experience with ...

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iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

Preferred Skills: ● Technical understanding of machine learning, statistics, data science, and related fields ● Proficient user in several quantitative software tools, particularly Python, R, and ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

Preferred Skills: • Technical understanding of machine learning, statistics, data science, and related fields • Proficient user in several quantitative software tools, particularly Python, R, and ...

Adobe

Sr. Manager, People Data Science

Seattle, WA

$161K - $303K/yr

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Tata Consultancy Services

Gen AI Architect

Seattle, WA · On-site

Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J) • Tokenization & Frameworks ... Required : • Bachelor's degree in computer science, Data Science, or a related field. • 5+ ...

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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 4, 2026, the average hourly pay for python data science in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 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 June 2026, with employment types broken down into 4% As Needed, 47% Full Time, 45% Part Time, 2% Contract, and 2% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.
Data Science Specialist

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Posted 7 days ago

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.