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

This role involves applying data science skills to drive data-driven decisions and develop models ... and R and SQL-like query languages. • Experience in applying statistics, designing ...

... Science/Data Lake team. In this role, you will support the design and modernization of cyber data ... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine ...

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242.06K - $401.28K/yr

R, Python, MATLAB) and database languages (e.g. SQL) 5. Experience building data science models (Regression, Decision Trees, K-Means, etc.) Preferred Qualifications: 1. Experience with large data ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Principal Data Scientist

Redmond, WA · On-site

$188K - $304.20K/yr

Overview We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft ... R/MATLAB/C#/Java/C++ * Experience in applying statistics, designing experimentation and metrics ...

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. * Create analyses that generate insights for business teams. * Design ...

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. * Create analyses that generate insights for business teams. * Design ...

Required : • Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline • 1+ years of data/software engineering experience (internship experience is ...

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement ... R) • Experience leading the building of statistical/computational tools in support of marketing ...

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Internship Data Science R information

See Seattle, WA salary details

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

As of Jun 3, 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 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 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 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 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 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:
Senior Data Scientist

Senior Data Scientist

Microsoft

Redmond, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

47th of 185 rated software companies


Job description

Job Summary:
Microsoft is a leading company in the digital advertising industry, and they are seeking a Senior Data Scientist to join their Market Sciences Team. This role involves applying data science skills to drive data-driven decisions and develop models that optimize sales and marketing impact.
Responsibilities:
• Measurement: Design metrics to measure and track Microsoft advertiser demand health and inform/guide sales and marketing execution. Quantify the impact and incrementality of various sales and marketing programs.
• Experimentation: Design and analyzing the results of online and offline experiments. Using quasi-experiments and counterfactuals to understand the causality in scenarios where AB testing is not feasible.
• Demand Generation: Prototyping algorithms for creating, managing, and optimizing demand generation activities through sales, marketing, and product to support our ad marketplace
• Problem formulation: Work with key business stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
• Model development: Develop new predictive and prescriptive models using advanced statistical and machine learning techniques with a goal of productionizing solutions.
• Influence: Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools.
Qualifications:
Required:
• 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:
• Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• Experience in all phases of managing data science projects including problem definition, solution formulation, model building, productionizing and delivering measurable impact.
• Hands-on experience in design & problem-solving skills with programming languages, such as Python and R and SQL-like query languages.
• Experience in applying statistics, designing experimentation, causal inference and metrics.
Company:
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Founded in 1975, the company is headquartered in Redmond, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Microsoft

Sourced by ZipRecruiter

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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