ZipRecruiter

Log In

1

Data Scientist Internship Jobs in Bothell, WA (NOW HIRING)

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required ... of non-internship professional software development experience building production services.

Ai2

Research Scientist, Robotics

Seattle, WA · On-site

... data sets, benchmarks, and models • experiment with large-scale simulation tools and robots in ... • mentor interns and pre-doctoral candidates • author and present scientific papers • ...

Ai2

Research Scientist, Robotics

Seattle, WA · On-site

... interns, and contribute to open-source research efforts. Responsibilities : • Develop and ... data sets, benchmarks, and models. • Experiment with large-scale simulation tools and robots in ...

Amazon

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

We are a team of Data Engineers working closely with Applied Scientists, Data Scientists, and ... non internship data engineering experience PREFERRED QUALIFICATIONS - Experience with AWS ...

previous pagenext page

Showing results 21-40

All JobsData Scientist JobsData Scientist Internship JobsData Scientist Internship Jobs in Bothell, WA

Data Scientist Internship information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do data scientist internship jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist internship in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

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

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What do you do as a data scientist internship?

A data scientist intern assists in analyzing data, developing models, and generating insights to support business decisions. They often work with tools like Python, R, or SQL and may be involved in data cleaning, visualization, and reporting under supervision. The internship provides practical experience in data analysis and machine learning techniques.
More about Data Scientist Internship jobs

What are the most commonly searched types of Data Scientist jobs in Bothell, WA?

The most popular types of Data Scientist jobs in Bothell, WA are:

What are popular job titles related to Data Scientist Internship jobs in Bothell, WA?

For Data Scientist Internship jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Data Scientist Internship jobs in Bothell, WA look for?

The top searched job categories for Data Scientist Internship jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Data Scientist Internship jobs?

Cities near Bothell, WA with the most Data Scientist Internship job openings:

Data Scientist Internship jobs near you
Infographic showing various Data Scientist Internship job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $184,472 per year, or $88.7 per hour.

Ex Amazon Data Engineer

1 point system

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Re-posted 16 days ago

Job description

Role Overview

This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics components for a satellite communications service. The focus is on developing regulatory and compliance-driven data solutions, with approximately 60-70% greenfield development and the remainder enhancing existing systems. You will work within established architectural patterns to help meet regulatory obligations across multiple jurisdictions.

Key Responsibilities

  • Implement logical and physical data models and ETL/ELT pipelines to consolidate compliance data.
  • Build and maintain event-driven integration components, such as data pipelines, Lambda functions, and Step Functions workflows.
  • Implement backend services including APIs, workflow orchestrations, and dashboard backends.
  • Write, test, and deploy well-written, maintainable, and secure production code.
  • Implement data quality checks, validation, and monitoring for compliance-critical datasets.
  • Extend existing services to support new compliance requirements and jurisdictions.
  • Build components that handle sensitive regulatory data with appropriate encryption and access controls.
  • Contribute to self-service analytics through reporting tools and dashboards.
  • Maintain production systems with comprehensive monitoring, alarming, and logging.
  • Participate in code reviews, design discussions, and sprint ceremonies.

Required Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required.

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development experience building production services.

Technical Skills: Proficiency in Python, Java, or TypeScript; strong SQL skills; and experience with AWS services such as Lambda, API Gateway, Step Functions, and DynamoDB.

Preferred Qualifications

  • Experience building event-driven architectures using Step Functions, EventBridge, or SQS/SNS.
  • Experience with serverless development patterns on AWS.
  • Experience with infrastructure as code (CDK, CloudFormation).
  • Familiarity with regulatory compliance or telecommunications domains.
  • AWS certification.