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Applied Computer Science Jobs in Texas (NOW HIRING)

Fidelity Investments

Principal Mobile Developer

Westlake, TX · On-site

$53.50 - $70.25/hr

Bachelor's degree in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) ...

Fidelity Investments

Principal Mobile Developer

Westlake, TX · On-site

$53.50 - $70.25/hr

Bachelor's degree in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) ...

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How much do applied computer science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for applied computer science in Texas is $61,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,496.00 and $84,865.00 per year, depending on experience, location, and employer.

What is an Applied Computer Science job?

An Applied Computer Science job focuses on practical applications of computing principles to solve real-world problems. Professionals in this field use programming, algorithms, data analysis, and software development to create efficient solutions in various industries. Unlike theoretical computer science, applied computer science emphasizes hands-on implementation and problem-solving. Careers include roles in software development, cybersecurity, data science, and systems administration. These jobs require both technical expertise and the ability to apply computing knowledge to diverse challenges.

Which CS has the highest salary?

In applied computer science roles, positions such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to their specialized skills and demand. These roles often require expertise in programming, statistics, and tools like Python, TensorFlow, or cloud platforms, and typically offer higher compensation compared to other computer science positions.

What are the key skills and qualifications needed to thrive in the Applied Computer Science position, and why are they important?

To thrive in Applied Computer Science, you need a strong understanding of programming, algorithms, and software engineering, usually with a relevant degree such as Computer Science or Software Engineering. Familiarity with development tools, databases, cloud platforms, and possibly certifications in areas like AWS, Azure, or specific programming languages is highly valuable. Problem-solving ability, teamwork, and effective communication are vital soft skills for delivering solutions in collaborative environments. These abilities ensure your technical solutions are robust, efficiently meet user needs, and integrate smoothly into real-world business contexts.

What jobs can you get with applied computing?

Applied computer science prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, and network administrator. These jobs typically require skills in programming, data management, and problem-solving, often using tools like programming languages, databases, and operating systems.

What job makes $10,000 a month without a degree?

In applied computer science, roles such as freelance software developer, cybersecurity consultant, or cloud solutions architect can earn $10,000 or more per month without a formal degree, often requiring strong skills, certifications, and experience. These positions typically involve remote work, self-employment, or contract-based projects in high-demand areas like programming, security, or cloud computing.

What are some common career advancement opportunities for professionals in Applied Computer Science?

Professionals in Applied Computer Science often start in roles such as software developer, systems analyst, or data analyst, and can advance to positions like lead engineer, project manager, or solutions architect with experience. Many organizations encourage ongoing learning through workshops, certifications, and cross-functional projects, allowing for skill-building and specialization in areas like cloud computing, cybersecurity, or artificial intelligence. Some may progress into leadership roles overseeing development teams or managing technical projects. As technology evolves, there is significant potential to transition into new specialties or higher-level positions within the IT and software industry.

What can you do with an applied computer science degree?

An applied computer science degree prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or network administrator. Graduates can work in technology companies, finance, healthcare, or government agencies, often utilizing programming languages, data management, and problem-solving skills to develop and maintain computer systems and applications.
What are the most commonly searched types of Applied Computer Science jobs in Texas? The most popular types of Applied Computer Science jobs in Texas are:
What are popular job titles related to Applied Computer Science jobs in Texas? For Applied Computer Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Applied Computer Science jobs in Texas look for? The top searched job categories for Applied Computer Science jobs in Texas are:
Applied Computer Science jobs near you
Infographic showing various Applied Computer Science job openings in Texas as of June 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Temporary. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $61,760 per year, or $29.7 per hour.

Data Scientist [Multiple Positions Available]

JPMorganChase

Plano, TX • On-site

Full-time

Posted 17 days ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. They are seeking a Data Scientist to design and develop machine learning solutions, analyze model performance, and ensure compliance with security requirements.
Responsibilities:
• Design and develop machine learning solutions for security platforms.
• Design, develop, and deploy models to enforce least privilege access principles.
• Analyze model performance and implement incremental prediction improvements based on feedback.
• Process large datasets for exploration, standardization, cleansing, and feature engineering.
• Perform machine learning operations and deploy models to production for prediction services.
• Ensure applications meet security and compliance requirements.
• Implement infrastructure as code and manage infrastructure deployment for data science workloads.
• Identify and resolve application vulnerabilities and maintain compliance standards.
Qualifications:
Required:
• Master's degree in Applied Computer Science, Computer Science, Data Science, or related field plus 3 years of experience in the job offered or as Data Scientist, Software Engineer, or related occupation.
• Alternatively, a Bachelor's degree in Applied Computer Science, Computer Science, Data Science, or related field plus 5 years of experience in the job offered or as Data Scientist, Software Engineer, or related occupation.
• Three (3) years of experience with performing data exploration, transformation, aggregation, statistical analysis, and data cleansing using Python, Jupyter Notebook, SQL, pandas, and PySpark.
• Three (3) years of experience designing and developing data science models using Python and machine learning libraries, including Scikit-learn, TensorFlow, including PyTorch.
• Three (3) years of experience performing data science development using AWS cloud-based tools, including S3, SageMaker, and EMR.
• Three (3) years of experience performing machine learning operations and deploying models to production using CI/CD tools such as Jenkins and AWS services such as SageMaker.
• Three (3) years of experience implementing infrastructure as code using Terraform to create AWS resources, including S3 and EMR.
• Three (3) years of experience developing RESTful APIs using FastAPI or Flask to serve data science models.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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