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Math Major Computer Science Minor Internship Jobs in Provo, UT

D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 8+ years of progressive experience in data science, with a proven track record of delivering impactful ...

D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 8+ years of progressive experience in data science, with a proven track record of delivering impactful ...

An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Experience with a major cloud platform, preferably Google Cloud Platform (GCP), AWS, or Azure ... Master's or Bachelor's degree, preferably in Math, Statistics, Computer Science/Engineering, or a ...

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Experience with a major cloud platform, preferably Google Cloud Platform (GCP), AWS, or Azure ... Master's or Bachelor's degree, preferably in Math, Statistics, Computer Science/Engineering, or a ...

Senior Auditor

Alta, UT

$81K - $100K/yr

Provide guidance and mentorship to Staff Auditors and interns. Review audit workpapers and ensure ... Bachelor's degree in information systems, Computer Science, Accounting, Cybersecurity, Data ...

Senior Auditor

Alta, UT

$81K - $100K/yr

Provide guidance and mentorship to Staff Auditors and interns. Review audit workpapers and ensure ... Bachelor's degree in information systems, Computer Science, Accounting, Cybersecurity, Data ...

Senior Auditor

Sandy, UT · On-site

$80 - $110/hr

Provide guidance and mentorship to Staff Auditors and interns. * Review audit workpapers and ensure ... Bachelor's degree in information systems, Computer Science, Accounting, Cybersecurity, Data ...

IT Intern

Salt Lake City, UT · On-site

$14.50 - $19.25/hr

Pursuing a Bachelor's or Master's degree in Information Systems, Computer Science, Cyber Security, ... p experience • Experience with security operations • Experience using AI tools to augment and ...

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Math Major Computer Science Minor Internship information

What is a math major 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.

How can a math major 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 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.

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.

What can I do with a math major computer science minor internship?

A math major with a computer science minor internship provides experience in data analysis, programming, and problem-solving, preparing you for roles such as software developer, data analyst, or quantitative analyst. It helps develop skills in programming languages like Python or Java and understanding of algorithms, which are valuable in tech, finance, and research industries.

What can you do with a math major and computer science minor?

A math major with a computer science minor prepares for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require strong problem-solving, programming skills, and knowledge of algorithms, with common tools including Python, Java, or SQL.

What internships can you do as a math major computer science minor internship?

As a math major with a computer science minor, you can pursue internships in software development, data analysis, cybersecurity, quantitative research, or machine learning. These roles often involve programming languages like Python or Java, and may require knowledge of algorithms, data structures, and statistical methods.

What are popular job titles related to Math Major Computer Science Minor Internship jobs in Provo, UT?

For Math Major Computer Science Minor Internship jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Math Major Computer Science Minor Internship jobs in Provo, UT look for?

The top searched job categories for Math Major Computer Science Minor Internship jobs in Provo, UT are:

Infographic showing various Math Major Computer Science Minor Internship job openings in Provo, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Senior Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

ABOUT THIS POSITION
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.
WHAT YOU'LL DO
* Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems.
* Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team.
* Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables.
* Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences.
* Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity.
* Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies.
* Contribute to the strategic direction of Waystar's data science initiatives, identifying opportunities for innovation and impact.
* Champion data-driven decision-making throughout the company, educating and influencing stakeholders on the power of data science.
* Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.
WHAT YOU'LL NEED
* Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
* 8+ years of progressive experience in data science, with a proven track record of delivering impactful data-driven solutions in a fast-paced environment.
* Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development.
* Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
* Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference.
* Proficiency in SQL for data querying and manipulation, with experience working with large-scale datasets.
* Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
* Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
* Demonstrated ability to lead projects, mentor team members, and drive successful outcomes.
* Prior experience in the healthcare technology or financial services industry is a plus.
ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.