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Data Science Startup Internship Jobs in Nebraska

Nelnet, Inc.

Intern Program - Agentic AI

Lincoln, NE · On-site

$13 - $17.50/hr

EDUCATION: Pursuing a degree in Computer Science, Data Science, Engineering, Business, Visual Media Arts, or a related field. EXPERIENCE: * Previous Internship/Project Experience (Preferred)

Cheez

Product Manager @ Social app startup

Omaha, NE · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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Data Science Startup Internship information

What is a data science startup internship?

A Data Science Startup Internship is an opportunity to gain hands-on experience working with real-world data in a fast-paced startup environment. Interns typically assist with data collection, cleaning, analysis, and model development to support business decisions. Startups often provide a dynamic and collaborative atmosphere where interns can work on various tasks, from building machine learning models to developing data pipelines. This role allows interns to develop technical skills in programming, statistics, and data visualization while also gaining exposure to the entrepreneurial aspects of a startup.

What types of projects or tasks can I expect to work on during a data science startup internship?

As a Data Science Startup Intern, you can expect to work on a variety of tasks such as cleaning and analyzing datasets, building simple machine learning models, and developing data visualizations to support business decisions. You may also participate in brainstorming sessions, help automate reporting processes, or assist in designing experiments to test new product features. Given the fast-paced nature of startups, you’ll often have the opportunity to take ownership of small projects from start to finish, receiving guidance from senior team members along the way. This hands-on experience is ideal for building practical skills and gaining exposure to real-world data challenges.

What are the key skills and qualifications needed to thrive in a data science startup internship, and why are they important?

To succeed in a Data Science Startup Internship, candidates should have a solid understanding of statistics, programming (commonly in Python or R), and basic data analysis principles, usually supported by coursework in computer science, math, or a related field. Familiarity with data visualization tools like Tableau or Matplotlib, version control systems like Git, and experience with machine learning libraries are highly valued. Strong communication, adaptability, and problem-solving skills help interns collaborate effectively in the fast-paced and dynamic startup environment. These abilities are vital for making meaningful contributions to projects and thriving in a setting where roles and responsibilities often evolve quickly.

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Data Science Startup Internship jobs near you

Data Scientist Intern - In Office, Lincoln, NE only

Sandhills Global, Inc.

Lincoln, NE • On-site

Full-time, Internship

Re-posted 11 days ago

Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 19 rated publishing

Job description

Data Scientist Intern - In Office, Lincoln, NE only
Lincoln, Nebraska, 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. Assume other duties as assigned.
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.

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