R, SAS, or Matlab) - Experience in data science, machine learning or data mining - Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data ...
R, SAS, or Matlab) - Experience in data science, machine learning or data mining - Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data ...
Data mining. * Azure ML, Cortana Intelligence. * Azure Data Lake. * Cosmos. * Analytical skills. * Experience and desire to work in a Global delivery environment. Qualifications * Bachelor's degree ...
Data mining. * Azure ML, Cortana Intelligence. * Azure Data Lake. * Cosmos. * Analytical skills. * Experience and desire to work in a Global delivery environment. Qualifications * Bachelor's degree ...
Data mining * Azure ML, Cortana Intelligence * Azure Data Lake * Cosmos * Analytical skills * Experience and desire to work in a Global delivery environment Qualifications * Bachelor's degree or ...
Data mining * Azure ML, Cortana Intelligence * Azure Data Lake * Cosmos * Analytical skills * Experience and desire to work in a Global delivery environment Qualifications * Bachelor's degree or ...
Machine Learning Engineer, E-commerce Feed Recommendation
Seattle, WA · On-site
$148.20K - $300.96K/yr
Preferred Qualifications - 2 years of experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or ...
Machine Learning Engineer, E-commerce Feed Recommendation
Seattle, WA · On-site
$148.20K - $300.96K/yr
Preferred Qualifications - 2 years of experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or ...
Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Summer (BS/MS)
Seattle, WA · On-site
$42.75/hr
... data mining, and help design Chain-of-Thought (CoT) annotation frameworks to improve the model ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Summer (BS/MS)
Seattle, WA · On-site
$42.75/hr
... data mining, and help design Chain-of-Thought (CoT) annotation frameworks to improve the model ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
... scale data mining, or related fields preferred • Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch • Passionate about solving complex and ...
... scale data mining, or related fields preferred • Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch • Passionate about solving complex and ...
Industrial Designer Co-op
Bellevue, WA · On-site
A day in the life As an intern or co-op, you will be matched to a manager and a mentor. You will ... data mining, automation, optimization, scalability, and security - just to name a few. In addition ...
Industrial Designer Co-op
Bellevue, WA · On-site
A day in the life As an intern or co-op, you will be matched to a manager and a mentor. You will ... data mining, automation, optimization, scalability, and security - just to name a few. In addition ...
Build datasets (including leveraging privacy-preserving synthetic data techniques) to fine tune and ... mining). A track record of applying scientific methods to real-world problems is a plus.
Build datasets (including leveraging privacy-preserving synthetic data techniques) to fine tune and ... mining). A track record of applying scientific methods to real-world problems is a plus.
Affiliate Strategist Intern (TikTok Shop Creator and Affiliates) - 2026 Summer (MBA)
Seattle, WA · On-site
$38/hr
... mining of data. - Project-manage to ensure timely launches of the ongoing creator tasks and ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Affiliate Strategist Intern (TikTok Shop Creator and Affiliates) - 2026 Summer (MBA)
Seattle, WA · On-site
$38/hr
... mining of data. - Project-manage to ensure timely launches of the ongoing creator tasks and ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Data Mining Intern information
See Renton, WA salary details
$10 - $11.58
3% of jobs
$11.58 - $13.15
3% of jobs
$13.15 - $14.72
3% of jobs
$14.72 - $16.30
9% of jobs
$16.81 is the 25th percentile. Wages below this are outliers.
$16.30 - $17.87
21% of jobs
The median wage is $18.53 / hr.
$17.87 - $19.44
26% of jobs
$20.69 is the 75th percentile. Wages above this are outliers.
$19.44 - $21.02
13% of jobs
$21.02 - $22.59
12% of jobs
$22.59 - $24.16
4% of jobs
$24.16 - $25.74
3% of jobs
$25.74 - $27.31
3% of jobs
$10
$19
$27
How much do data mining intern jobs pay per hour?
As of Jun 4, 2026, the average hourly pay for data mining intern in Renton, WA is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.63 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Data Mining Intern, and why are they important?
To thrive as a Data Mining Intern, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in computer science or a related field. Familiarity with data mining tools like SQL, RapidMiner, or Weka, and experience with databases and data visualization platforms, is often required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret findings and present results clearly. These skills are vital for extracting actionable insights from data and contributing value to data-driven projects.
What types of projects can a Data Mining Intern expect to work on during their internship?
As a Data Mining Intern, you can expect to work on projects involving large datasets, where your main tasks may include data cleaning, data exploration, and applying machine learning algorithms to uncover patterns or trends. Interns often collaborate closely with data scientists and analysts, contributing to real business problems such as customer segmentation, predictive analytics, or anomaly detection. You'll likely use tools like Python, R, and SQL, and get hands-on experience with data visualization and presentation of findings. This exposure helps build valuable technical and teamwork skills while offering insight into the practical challenges of working with real-world data.
What does a Data Mining Intern do?
A Data Mining Intern assists in collecting, cleaning, and analyzing large sets of data to uncover useful patterns and insights. They work under the supervision of data scientists or analysts and often use programming languages like Python or R, as well as tools such as SQL and data visualization software. Their responsibilities may include preparing data for analysis, running experiments, and presenting findings to help inform business decisions. This internship provides hands-on experience in the field and helps interns develop technical and analytical skills.
What is the difference between Data Mining Intern vs Data Analyst Intern?
| Aspect | Data Mining Intern | Data Analyst Intern |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in Data Science, Computer Science, or related fields | Often pursuing or recent graduate in Statistics, Mathematics, or related fields |
| Work Environment | Hands-on with data extraction, cleaning, and preliminary analysis, often using SQL, Python, or R | Focuses on data interpretation, visualization, and reporting using tools like Excel, Tableau, or Power BI |
| Industry Usage | Common in tech, finance, and research sectors for data preparation tasks | Widespread across various industries for business insights and decision-making |
While both roles involve working with data, a Data Mining Intern primarily focuses on extracting and preparing data for analysis, whereas a Data Analyst Intern emphasizes interpreting data and creating reports. Understanding these differences helps in choosing the right internship based on your skills and career goals.
What are popular job titles related to Data Mining Intern jobs in Renton, WA? For Data Mining Intern jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Data Mining Intern jobs in Renton, WA look for? The top searched job categories for Data Mining Intern jobs in Renton, WA are:
$185K/yr
Full-time
Posted 20 days ago
Amazon rating
7.4
Based on 6,807 frontline employees who took The Breakroom Quiz
7th of 39 rated national retailers
Job description
Do you have a passion for data? Are you matriculating in a Master's or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.
Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.
For more information on the Amazon Science community please visit https://www.amazon.science
BASIC QUALIFICATIONS
- Can relocate to where the internship is based
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience in data science, machine learning or data mining
- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
- Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship
PREFERRED QUALIFICATIONS
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.
For more information on the Amazon Science community please visit https://www.amazon.science
BASIC QUALIFICATIONS
- Can relocate to where the internship is based
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience in data science, machine learning or data mining
- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
- Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship
PREFERRED QUALIFICATIONS
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US