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Internship Mathematical Programming Jobs in Nebraska

... internships or jobs during college; at least one year of work experience is preferred. * Basic ... Ability to pass required assessments, including basic math testing and a proofreading test with ...

... internships or jobs during college; at least one year of work experience is preferred. * Basic ... Ability to pass required assessments, including basic math testing and a proofreading test with ...

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Internship Mathematical Programming information

What is the difference between Internship Mathematical Programming vs Data Analyst Intern?

AspectInternship Mathematical ProgrammingData Analyst Intern
Required SkillsMathematical modeling, programming, optimizationData analysis, statistics, visualization
Work EnvironmentResearch labs, tech companies, finance firmsBusiness, marketing, tech companies
Typical TasksDevelop algorithms, solve optimization problemsAnalyze datasets, generate reports
Industry UsageResearch, finance, techBusiness, marketing, consulting

Internship Mathematical Programming focuses on developing algorithms and solving complex mathematical problems, often in research or technical environments. Data Analyst Interns primarily analyze data sets to inform business decisions. While both roles involve data and programming skills, their applications and industries differ significantly.

What are popular job titles related to Internship Mathematical Programming jobs in Nebraska? For Internship Mathematical Programming jobs in Nebraska, the most frequently searched job titles are:
Data Scientist Intern - In Office, Lincoln, NE only

Data Scientist Intern - In Office, Lincoln, NE only

Sandhills Global, Inc.

Lincoln, NE • On-site

Internship

Posted 26 days ago


Sandhills Global rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 17 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.