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Internship Teen Computer Science Jobs in Spring, TX

Harris County

Parent/Teen Group Facilitator

Houston, TX · On-site

$17/hr

Bachelor's degree majoring in a Behavioral Science, Social Work or other Social Science or closely ... Training and experience using a personal computer with a variety of software such as Microsoft Word ...

Harris County

Parent/Teen Group Facilitator

Houston, TX · On-site

$17/hr

Bachelor's degree majoring in a Behavioral Science, Social Work or other Social Science or closely ... Training and experience using a personal computer with a variety of software such as Microsoft Word ...

Danaher

Software Automation Internships

Houston, TX

... 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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How much do internship teen computer science jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for internship teen computer science in Spring, TX is $20.37, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $21.59 per hour, depending on experience, location, and employer.

What is the difference between Internship Teen Computer Science vs Junior Software Developer?

AspectInternship Teen Computer ScienceJunior Software Developer
Required CredentialsHigh school diploma or ongoing education, basic programming knowledgeAssociate's or Bachelor's degree in Computer Science or related field, some coding experience
Work EnvironmentEducational settings, tech camps, or entry-level projectsProfessional office or remote work, collaborative teams
Employer & Industry UsageEducational institutions, tech companies, startupsTech firms, software companies, IT departments
Common Search & Comparison IntentLearning opportunities, entry-level experienceCareer progression, job responsibilities

Internship Teen Computer Science positions are designed for high school students or beginners exploring tech, focusing on learning and basic skills. Junior Software Developers are more advanced roles requiring some formal education and coding experience, working on real projects within professional teams. The internship is ideal for gaining initial exposure, while the junior role is a step toward a full-time career in software development.

What are popular job titles related to Internship Teen Computer Science jobs in Spring, TX? For Internship Teen Computer Science jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Internship Teen Computer Science jobs in Spring, TX look for? The top searched job categories for Internship Teen Computer Science jobs in Spring, TX are:
What cities near Spring, TX are hiring for Internship Teen Computer Science jobs? Cities near Spring, TX with the most Internship Teen Computer Science job openings:
Internship Teen Computer Science jobs near you

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 14 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply