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Math Major Computer Science Minor Internship Jobs in Nebraska

Danaher

Software Automation Internships

Lincoln, NE

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

Bellevue, NE

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

Omaha, NE

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

Kearney, NE

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

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Math Major Computer Science Minor Internship information

What are the key skills and qualifications needed to thrive in a Math Major Computer Science Minor Internship, and why are they important?

To excel in a Math Major Computer Science Minor Internship, you need strong analytical skills, mathematical reasoning, programming knowledge, and a solid academic background in both mathematics and computer science. Familiarity with programming languages (such as Python, Java, or C++), software development tools, and data analysis platforms is typically expected. Problem-solving ability, effective communication, and a collaborative mindset are valuable soft skills that help interns succeed in team environments. These competencies ensure interns can tackle technical challenges, contribute meaningfully to projects, and adapt to the dynamic demands of technology-driven workplaces.

How can a Math Major with a Computer Science Minor leverage their skills during an internship?

As a Math Major with a Computer Science Minor, you bring a strong analytical foundation and programming skills to your internship. You'll often be tasked with data analysis, algorithm development, or software testing, where your mathematical reasoning and coding abilities are highly valued. Collaborating with multidisciplinary teams, you'll contribute to problem-solving sessions and may assist in developing models or tools for real-world applications. This blend of skills not only allows you to take on complex technical tasks but also positions you well for future roles in data science, software engineering, or research.

What is a Math Major with a Computer Science Minor Internship?

A Math Major with a Computer Science Minor Internship is a work experience opportunity designed for students who are pursuing a major in mathematics and a minor in computer science. These internships allow students to apply their mathematical reasoning and computational skills in real-world settings, such as tech companies, finance, data analysis, or research labs. Interns often work on projects involving programming, data analysis, algorithm development, or modeling. The experience helps students build both technical and professional skills, making them more competitive for future jobs or graduate studies.

What is the difference between Math Major Computer Science Minor Internship vs Data Analyst?

AspectMath Major Computer Science Minor InternshipData Analyst
Required CredentialsRelevant coursework in math and CS, internship experienceDegree in math, statistics, or related field; some roles prefer certifications
Work EnvironmentInternship setting, often in tech or finance companiesOffice-based, data-focused roles in various industries
Industry UsageUsed for gaining experience and skills in tech, finance, or consultingAnalyzing data to inform business decisions across industries

The Math Major Computer Science Minor Internship provides hands-on experience combining math and CS skills, ideal for those exploring tech or finance fields. Data Analysts focus on interpreting data to support business strategies, often requiring similar educational backgrounds. Both roles involve working with data and technical skills, but internships are temporary learning positions, while Data Analysts are full-time roles with ongoing responsibilities.

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Math Major Computer Science Minor Internship jobs near you
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Lincoln, NE • On-site, Remote

$40/hr

Full-time

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

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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