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Computer Science Startup Jobs (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

About DEUNA DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI ... Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or ...

Pantera Capital

Full Stack Engineer

San Francisco, CA · On-site

$180 - $230/hr

Startup experience. You'll work closely with our CEO, a 2X Founder/CEO with a background in computer science and product design. * We embrace being fully remote. We schedule meetings sparingly and ...

Cheez

Product Manager @ Social app startup

Adelphi, MD · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Product Manager @ Social app startup

Norman, OK · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

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Computer Science Startup information

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How much do computer science startup jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science startup in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a computer science startup?

A Computer Science Startup job typically involves working in a newly founded tech company, focusing on developing innovative software, algorithms, or systems. Employees in these roles often wear multiple hats, including coding, product development, and problem-solving. Startups require adaptability, creativity, and a willingness to work in a fast-paced, evolving environment. Unlike established companies, startups may offer more autonomy and opportunities for rapid career growth but can also come with higher uncertainty.

What are the typical challenges faced in a computer science startup and how can I prepare for them?

Working in a computer science startup often involves managing rapid changes in technology, tight deadlines, and the pressure to deliver innovative solutions with limited resources. Team members frequently wear multiple hats, balancing development, testing, and sometimes even customer support or business planning. To prepare, it’s helpful to stay up-to-date with industry trends, cultivate flexibility in your work style, and strengthen your project management skills. Building a strong network and seeking mentorship within the startup and tech communities can also provide practical support and guidance. Embracing a proactive, problem-solving approach will help you navigate and thrive in this dynamic environment.

What are the key skills and qualifications needed to thrive in a computer science startup, and why are they important?

To succeed in founding or leading a computer science startup, you need a solid background in computer science or software engineering, an entrepreneurial mindset, and experience in product development. Familiarity with programming languages, cloud platforms, and agile development tools, as well as knowledge of industry certifications like AWS Certified Developer or ScrumMaster, can be highly beneficial. Strong skills in communication, problem-solving, adaptability, and leadership are crucial to navigate uncertainties and drive team collaboration. These skills and qualities are vital to innovate effectively, secure investment, and build scalable tech solutions in a highly competitive market.

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Cities with the most Computer Science Startup job openings:

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Computer Science Startup jobs near you
Infographic showing various Computer Science Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Re-posted 8 days ago

Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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