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As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
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As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
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Data Scientist Intern information
See Arizona salary details
$42.9K - $59.6K
1% of jobs
$59.6K - $76.3K
2% of jobs
$76.3K - $93.1K
4% of jobs
$93.1K - $109.8K
9% of jobs
$124K is the 25th percentile. Wages below this are outliers.
$109.8K - $126.5K
11% of jobs
$126.5K - $143.3K
7% of jobs
The median wage is $148.6K / yr.
$143.3K - $160K
50% of jobs
$160K - $176.7K
2% of jobs
$176.7K - $193.5K
1% of jobs
$193.5K - $210.2K
0% of jobs
$210.2K - $226.9K
13% of jobs
$42.9K
$153.8K
$226.9K
How much do data scientist intern jobs pay per year?
What are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?
What types of projects and tasks can I expect to work on as a Data Scientist Intern?
What are Data Scientist Interns?
What is the difference between Data Scientist Intern vs Data Analyst Intern?
| Aspect | Data Scientist Intern | Data Analyst Intern |
|---|---|---|
| Required Credentials | Typically pursuing or holding a degree in Data Science, Computer Science, or related fields | Usually pursuing or holding a degree in Statistics, Mathematics, or related fields |
| Work Environment | Involves building predictive models, machine learning, and advanced analytics | Focuses on data cleaning, reporting, and descriptive analytics |
| Employer & Industry Usage | Used in tech, finance, healthcare, and large enterprises for complex data projects | Common in retail, marketing, and business intelligence roles across industries |
While both roles involve working with data, a Data Scientist Intern typically engages in advanced analytics and machine learning projects, whereas a Data Analyst Intern focuses on data reporting and descriptive analysis. The roles differ mainly in complexity and technical skills required, but both serve as entry points into data-driven careers.

Data Scientist Intern - In Office, Scottsdale, AZ only
Sandhills Global, Inc.Scottsdale, AZ • On-site
Internship
Posted 2 days ago
Sandhills Global rating
8.0
Based on 5 frontline employees who took The Breakroom Quiz
8th of 17 rated publishing
Job description
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.
About Sandhills Global
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Lincoln, NE, US
Year founded
1978