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Entry Level Computer Science Jobs in San Jose, CA

Bachelor's/Master's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline. Additional Information Additional Information We offer: Free ...

... Entry-level software engineers are expected to bring significant skills and training, and then to ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

... Entry-level software engineers are expected to bring significant skills and training, and then to ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

A recent degree in Computer Science, Engineering, or Electrical Engineering. * Eligibility and ... JOB Title - Beta Soft Systems is looking to hire Entry level QA Engineers. ( ) Beta Soft Systems is ...

Firmware Engineer (entry level) Are you passionate about development and project-based work? Do you ... Experience or good understanding of PCIe/NAND/SMBus/UART/SPI protocols * BS in Computer Science, or ...

Firmware Engineer

San Jose, CA · On-site

$90 - $120/hr

Firmware Engineer (entry level) Are you passionate about development and project-based work? Do you ... Experience or good understanding of PCIe/NAND/SMBus/UART/SPI protocols * BS in Computer Science, or ...

Showing results 21-40

Entry Level Computer Science information

See San Jose, CA salary details

$22.9K

$51.3K

$102.7K

How much do entry level computer science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level computer science in San Jose, CA is $51,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,273.00 and $58,595.00 per year, depending on experience, location, and employer.

What are entry level computer science jobs?

Entry-level computer science jobs include positions that involve programming, software and app development, database administration, and the engineering of software and computer systems. You can also provide technical support, develop specialized programs for mobile phones or embedded computer systems, and work in areas such as cloud computing and machine learning. Entry-level computer science professionals typically operate as part of software development or IT teams, or they report to senior personnel and submit their work for testing and approval. Your duties and responsibilities often focus on developing, testing, or engineering a specific part of a computer-related project.

What are the key skills and qualifications needed to thrive as an entry level computer science professional?

To thrive as an Entry Level Computer Science professional, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with version control systems like Git, basic software development tools, and potentially certifications like CompTIA IT Fundamentals can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and adapt to new challenges. These skills are crucial for efficiently developing, testing, and maintaining software solutions in a team-oriented and rapidly evolving technical environment.

What types of projects or tasks can I expect to work on as an entry level computer science professional?

As an entry level computer science professional, you will typically work on tasks such as debugging code, writing simple programs or scripts, assisting with software testing, and supporting senior developers with larger projects. You may also be responsible for maintaining documentation, collaborating with team members during code reviews, and learning new technologies as needed. These experiences help you build a strong foundation and gain practical skills, setting the stage for more complex responsibilities and career advancement in the future.

What is the difference between Entry Level Computer Science vs Software Developer?

AspectEntry Level Computer ScienceSoftware Developer
Required CredentialsBachelor's in CS or related fieldBachelor's in CS or related field; coding bootcamps
Work EnvironmentTech companies, startups, IT departmentsTech firms, software companies, startups
Employer & Industry UsageEntry-level roles in various industriesDeveloping software applications across industries
Common Search & ComparisonYesYes

Entry Level Computer Science roles typically focus on foundational knowledge and may involve a variety of IT tasks, while Software Developer positions emphasize designing, coding, and maintaining software applications. Both roles often require similar educational backgrounds, but Software Developers usually have more specialized coding skills and project responsibilities.

What are the most commonly searched types of Computer Science jobs in San Jose, CA?

The most popular types of Computer Science jobs in San Jose, CA are:

What are popular job titles related to Entry Level Computer Science jobs in San Jose, CA?

For Entry Level Computer Science jobs in San Jose, CA, the most frequently searched job titles are:

What cities near San Jose, CA are hiring for Entry Level Computer Science jobs?

Cities near San Jose, CA with the most Entry Level Computer Science job openings:

Infographic showing various Entry Level Computer Science job openings in San Jose, CA as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $51,311 per year, or $24.7 per hour.

Data Scientist - Fraud Detection

DataVisor

Mountain View, CA • On-site

Full-time

Medical, PTO

Posted 6 days ago


Job description

About DataVisor:
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:

We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.

Key Responsibilities:

  • Develop and deploy machine learning models for fraud detection and risk assessment.
  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
  • Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
  • Collaborate with engineering and business teams to integrate ML models into production systems.
  • Continuously monitor model performance and refine algorithms to improve accuracy.
  • Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.

Requirements

  • Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus. 
  • Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
  • Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
  • Experience with SQL and data manipulation/analysis in large datasets.
  • Strong problem-solving skills and patience for deep-dive data exploration.
  • Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.
  • Excellent communication skills and ability to work in a collaborative environment.
Nice to have
  • Familiarity with big data tools (Spark, Hadoop, Dask).
  • Knowledge of graph-based fraud detection techniques.
  • Experience with cloud platforms (AWS, GCP, Azure).

Benefits

PTO, Stock Option, Health Benefits