Data Scientist
Lehi, UT · On-site
$90 - $130/hr
... internships, academic projects, or applied professional experience * Working knowledge of Python ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ...
Data Scientist
Lehi, UT · On-site
$90 - $130/hr
... internships, academic projects, or applied professional experience * Working knowledge of Python ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ...
Support missile performance analysis including model development, system optimization, and Monte ... Requires a Master's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree ...
Support missile performance analysis including model development, system optimization, and Monte ... Requires a Master's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree ...
Internship Mathematical Optimization information
What is an internship in mathematical optimization?
An Internship in Mathematical Optimization is a temporary position for students or recent graduates to gain practical experience applying mathematical techniques to solve optimization problems. These internships typically involve tasks such as modeling real-world scenarios, developing algorithms, and using software tools to find optimal solutions in areas like logistics, finance, or engineering. Interns often work with experienced professionals, contributing to research projects or business applications while building their technical skills. The role usually requires a solid foundation in mathematics, programming, and analytical thinking.
What types of projects can I expect to work on during an internship in mathematical optimization?
As an intern in Mathematical Optimization, you will typically work on real-world problems that involve designing, implementing, and testing optimization algorithms. Projects may include tasks such as modeling supply chain logistics, scheduling operations, or improving resource allocation for various industries. You'll likely collaborate with data scientists, engineers, and other interns to collect data, build models, and present findings. This hands-on experience helps you develop both technical and teamwork skills, and often includes mentorship from senior optimization experts.
What are the key skills and qualifications needed to thrive in an internship in mathematical optimization?
To thrive in an Internship in Mathematical Optimization, you need a solid background in mathematics, particularly in optimization theory, linear algebra, and programming, usually supported by ongoing or completed studies in applied mathematics, engineering, or a related field. Familiarity with optimization software (like Gurobi or CPLEX), programming languages such as Python or MATLAB, and experience with relevant libraries or frameworks is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns stand out when solving complex problems and collaborating with teams. These skills are crucial for developing efficient optimization solutions and contributing meaningfully to research or industry projects.
What is the difference between Internship Mathematical Optimization vs Data Analyst Intern?
| Aspect | Internship Mathematical Optimization | Data Analyst Intern |
|---|---|---|
| Required Credentials | Basic knowledge of optimization, programming skills | Statistics, data analysis, programming |
| Work Environment | Research, algorithm development, modeling | Data collection, reporting, visualization |
| Industry Usage | Operations research, logistics, supply chain | Business, marketing, finance |
Internship Mathematical Optimization focuses on developing and applying algorithms to optimize processes, often in logistics or operations research. Data Analyst Interns analyze and interpret data to support business decisions. While both roles involve data and programming, optimization internships emphasize mathematical modeling, whereas data analysis internships focus on data interpretation and visualization.
What are the most commonly searched types of Mathematical Optimization jobs in Utah?
The most popular types of Mathematical Optimization jobs in Utah are:
What are popular job titles related to Internship Mathematical Optimization jobs in Utah?
For Internship Mathematical Optimization jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Internship Mathematical Optimization jobs in Utah look for?
The top searched job categories for Internship Mathematical Optimization jobs in Utah are:
What cities in Utah are hiring for Internship Mathematical Optimization jobs?
Cities in Utah with the most Internship Mathematical Optimization job openings:
$90 - $130/hr
Other
Posted 13 days ago
Job description
- Analyze structured and unstructured datasets to identify trends and answer business questions
- Develop, test, and refine statistical and analytical models
- Contribute to analytics capabilities aligned with product roadmaps, customer needs, and business use cases
- Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical solutions
- Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation
- Evaluate new data sources and analytical methods
- Document analytical approaches and communicate findings
- Support deployment and ongoing improvement of data science solutions
- 2–4 years’ experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience
- Working knowledge of Python and SQL
- Understanding of statistical methods, model evaluation, and analytical problem-solving
- Experience identifying patterns, testing hypotheses, and communicating actionable findings from datasets
- Familiarity with database concepts, data warehousing, or data-processing workflows
- Strong written and verbal communication skills
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience
- Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI
- Experience with pandas, NumPy, scikit-learn, or similar analytical tools
- Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services
- Experience applying AI or machine learning to practical business, product, or customer use cases
- Exposure to R or other data science and statistical tools
- Experience with Power BI, Tableau, or MicroStrategy
- Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows
Demonstrates expertise in data analysis, statistical modeling, and machine learning, with proficiency in Python and SQL. Capable of collaborating with cross-functional teams to develop and implement data-driven solutions that address business needs.
Highest-signal resume keywords- Data Analysis
- Statistical Modeling
- Python Programming
- SQL Proficiency
- Machine Learning
- Data Science
- Statistical Methods
- Model Evaluation
- Data Cleaning
- Data Transformation
- Pattern Identification
- Hypothesis Testing
- Analytical Problem-Solving
- Data Visualization
- Cloud-Based AI Services
- Strong Communication Skills
- Data Warehousing
- Data Processing Workflows
- Distributed Data Processing
- Business Use Cases
- Analytics Capabilities
- Pandas
- NumPy
- Scikit-Learn
- Power BI
- Tableau
- MicroStrategy
- AI Tools
- Machine Learning Frameworks