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Data Science Jobs in Bothell, WA (NOW HIRING)

UST

Data Science

Issaquah, WA · On-site

UST is a mission-driven company that transforms lives through technology and is seeking a Data Scientist. The role involves collecting, cleaning, and preprocessing data, performing exploratory data ...

New

Boeing

Data Scientist (Data Science)

Seattle, WA · On-site

Data Scientist (Data Science) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ...

Boeing

Data Scientist (Data Science)

Seattle, WA · On-site

Data Scientist (Data Science) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ...

Boeing

Data Scientist (Data Science)

Seattle, WA

Data Scientist (Data Science) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ...

Chewy

AD, Data Science

Bellevue, WA · On-site +1

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

Chewy

AD, Data Science

Bellevue, WA · On-site

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

Stripe

Data Science Manager

Seattle, WA · On-site

About the teams MaaS ("Money as a Service") Data Science The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex ...

Deloitte

Data Science Consultant

Seattle, WA

Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative ...

Deloitte

Data Science Consultant

Seattle, WA · On-site

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

Stripe

Data Science Manager, Growth

Seattle, WA · On-site

About the team Growth Data Science The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to ...

Microsoft

Principal, Data Science & Analytics

Redmond, WA · On-site

$163K - $296.40K/yr

The MAI Ecosystem Data Science Team owns MAI wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high confidence decisions and optimize MAI level outcomes.

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See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

How much do data science jobs pay per year?

As of May 29, 2026, the average yearly pay for data science in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Bothell, WA? The most popular types of Data Science jobs in Bothell, WA are:
What are popular job titles related to Data Science jobs in Bothell, WA? For Data Science jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Bothell, WA look for? The top searched job categories for Data Science jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Science jobs? Cities near Bothell, WA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Bothell, WA as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $137,208 per year, or $66 per hour.

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Posted yesterday

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.