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Internship Data Science R Jobs in Seattle, WA (NOW HIRING)

ZS

Advanced Data Science Consultant

Bellevue, WA · On-site

$175K - $195K/yr

What You'll Bring * 5 or more years of relevant data science professional work experience; Master ... A proficiency in at least one programming language (e.g., Java/Python/R). * Experience with tools ...

Meta

Director, Marketing Data Science

Bellevue, WA

$253K/yr

Director, Marketing Data Science Responsibilities: * Lead Measurement & Analytics: Oversee the ... R) * Very comfortable personally using AI tools and transforming organizations to be AI-Native

Apple

AIML - Data Scientist, Evaluation

Seattle, WA

$142K - $263K/yr

Within the evaluation organization, the mission of Data Science and Insights team is to guide ... Python, R, or Scala). Experience articulating and translating business questions and using ...

Walmart

(USA) Senior, Data Scientist

Bellevue, WA · On-site

$108K - $216K/yr

Experience in R and Julia * Demonstrated success in data science platforms like Kaggle. The above information has been designed to indicate the general nature and level of work performed in the role.

Walmart

(USA) Senior, Data Scientist

Bellevue, WA · On-site

Experience in R and Julia * Demonstrated success in data science platforms like Kaggle. The above information has been designed to indicate the general nature and level of work performed in the role.

Amazon

Data Scientist, Prime Video

Seattle, WA · On-site

You'll be part of an embedded science team on projects that are fast-paced, challenging, and ... R, SAS, Matlab, etc.) experience - 2+ years of data scientist experience - 3+ years of machine ...

TikTok

Data Scientist - TikTok Ads

Seattle, WA · On-site

$170K - $277K/yr

Responsibilities About The TikTok Monetization Product Data Science Team We're the TikTok ... R, Python, MATLAB) and database languages (e.g. SQL) Preferred Qualifications: - Demonstrated ...

Snapchat

Data Scientist, Level 4

Seattle, WA

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ... such as Python or R * 3+ years of experience with applied statistical techniques, such as ...

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Internship Data Science R information

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How much do internship data science r jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for internship data science r 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 types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What are the most commonly searched types of Data Science R jobs in Seattle, WA? The most popular types of Data Science R jobs in Seattle, WA are:
Internship Data Science R jobs near you
Senior Data Scientist - Microsoft Advertising

Senior Data Scientist - Microsoft Advertising

Microsoft

Redmond, WA • On-site

$160K - $261K/yr

Full-time

Re-posted 19 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

68th of 209 rated software companies

Job description

Overview
We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.
We are looking for a Senior Data Scientist who is willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
  • Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
  • Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
  • Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business.
  • Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
  • Make independent decisions for the team and handle difficult tradeoffs.
  • Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications
  • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
  • Comitted organizational, analytical, data science skills.
  • Ability to solve problems that the world has not solved before.
  • Experience with real world system building and data collection, including design, coding and evaluation.
  • Experience with driving large collaboration across multiple teams.
  • Experience with communicating with different audiences to provide insights.
  • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

#MicrosoftAI
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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