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Remote Data Science Intern Jobs in Seattle, WA (NOW HIRING)

Meta

Data Scientist (Technical Leadership)

Seattle, WA · On-site +1

$210K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 8+ years of experience in data science or analytics, leading analytics work ...

MindSource

Research Scientist

Seattle, WA · Remote

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role ... Publication(s) in the fields of artificial intelligence, machine learning or data science.

The Select Group

Data Quality Analyst

Tukwila, WA · Remote

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Bachelor's degree in CS, Data Science, or a related technical field. * Soft Skills: Exceptional ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ... Bachelor's level degree or higher in Computer Science, Engineering, or equivalent practical ...

Workiva

Spring 2027 Intern - Data Analytics

Bellevue, WA · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

Spring 2027 Intern - Data Analytics

Tacoma, WA · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

Spring 2027 Intern - Data Analytics

Seattle, WA · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

CharacterStrong

Content Support Intern

Puyallup, WA · Remote

$18/hr

Retrieve Data: Gather and consolidate data and information from diverse sources efficiently ... Ability to self-manage in a remote, fast-paced environment * Proficiency in Google Suite, OneDrive ...

CharacterStrong

Content Support Intern

Puyallup, WA · Remote

$20/hr

Retrieve Data: Gather and consolidate data and information from diverse sources efficiently ... Ability to self-manage in a remote, fast-paced environment * Proficiency in Google Suite, OneDrive ...

CharacterStrong

Content Support Intern

Puyallup, WA · Remote

$20/hr

Retrieve Data: Gather and consolidate data and information from diverse sources efficiently ... Ability to self-manage in a remote, fast-paced environment * Proficiency in Google Suite, OneDrive ...

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

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Remote Data Science Intern information

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How much do remote data science intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote data science intern in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the most commonly searched types of Remote Data Science jobs in Seattle, WA?

The most popular types of Remote Data Science jobs in Seattle, WA are:

What are popular job titles related to Remote Data Science Intern jobs in Seattle, WA?

For Remote Data Science Intern jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Intern jobs in Seattle, WA look for?

The top searched job categories for Remote Data Science Intern jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Data Science Intern jobs?

Cities near Seattle, WA with the most Remote Data Science Intern job openings:

Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Scientist (Technical Leadership)

Meta

Seattle, WA • On-site, Remote

$210K/yr

Full-time

Re-posted 9 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist (Technical Leadership) Responsibilities:
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Understand and identify opportunities to more responsibly leverage cutting edge technology
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
  • Navigate ambiguity and complexity by forming clear hypotheses, making data-driven decisions, and proactively identifying areas for deeper investigation

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in data science or analytics, leading analytics work in an IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Masters or Ph.D. Degree in a quantitative field
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$210,000/year to $281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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