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Full Time Computer Science Jobs in Dallas, TX (NOW HIRING)

PPO medical plan, available day one at no cost for full-time employee-only coverage * 100% coverage ... Education PhD In Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics ...

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... You must be work authorized in the United States on a full time basis without the need for any ...

This position will be based full time in either Westlake, TX or Merrimack, NH. The Purpose of Your ... PhD in Computer Science, Information Science, Statistics, or a related STEM discipline with focus ...

Applicants must be currently authorized to work in the United States on a full-time basis and must ... A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of ...

Showing results 21-40

Full Time Computer Science information

See Dallas, TX salary details

$55.9K

$82.2K

$96.9K

How much do full time computer science jobs pay per year?

As of Sep 15, 2026, the average yearly pay for full time computer science in Dallas, TX is $82,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $92,500.00 per year, depending on experience, location, and employer.

What is a full time computer science job?

Full time computer science jobs are positions where individuals work at least 35-40 hours per week in roles that involve the application of computer science principles. These roles can include software developer, systems analyst, data scientist, cybersecurity specialist, and more. Full time positions often include benefits such as health insurance, paid time off, and retirement plans. They typically require a degree in computer science or a related field, and may involve working for technology companies, financial institutions, research organizations, or government agencies.

What does a typical day look like for a full time computer science professional and how do they collaborate with other teams?

A typical day for a full-time computer science professional often involves a mix of coding, problem-solving, and meetings. You may spend several hours developing, testing, and debugging software, as well as reviewing code written by colleagues. Collaboration is key, as you frequently work with cross-functional teams such as product managers, designers, and quality assurance to ensure that projects meet user requirements and are delivered on time. Clear communication and teamwork are essential, especially when resolving issues or integrating new features. This structure fosters a dynamic environment where learning and adapting to new technologies is encouraged.

What are the key skills and qualifications needed to thrive as a computer scientist, and why are they important?

To thrive as a Computer Scientist, you need a solid background in algorithms, programming, and mathematics, typically supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and often certifications in areas like cloud computing or data science are commonly required. Analytical thinking, problem-solving, and effective teamwork are soft skills that set individuals apart in this role. These abilities are vital for developing innovative solutions, collaborating on complex projects, and adapting to rapidly evolving technology.

What is the difference between Full Time Computer Science vs Software Developer?

AspectFull Time Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldOften similar; degree preferred but not always required
Work EnvironmentAcademic, research, or corporate settingsTech companies, startups, or freelance projects
Industry UsageUniversities, research labs, tech firmsSoftware companies, IT services, app development
Common Search IntentEducational paths, career options in CSJob roles, skills, and project work in software development

Full Time Computer Science typically refers to a degree-focused, academic or research-oriented role requiring formal education. Software Developer roles are more practical, project-based, and often focus on coding and application development. While overlapping in skills and credentials, Full Time Computer Science emphasizes foundational knowledge, whereas Software Developer positions are more about applying that knowledge in real-world projects.

Are computer science full time majors still in demand?

Computer science full-time majors remain in high demand due to the ongoing growth of technology industries, software development, data analysis, and cybersecurity. Graduates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, or cloud platforms are particularly sought after across various sectors.

Are full time computer science majors still in demand?

Full-time computer science majors are currently in high demand due to the growth of technology industries, software development, data analysis, and cybersecurity. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong field for job stability and opportunities.

Is computer science a stressful job?

Computer science jobs can be stressful due to tight deadlines, complex problem-solving, and rapid technological changes. However, stress levels vary depending on the specific role, work environment, and individual workload management skills.

Is full time computer science a stressful job?

Full-time computer science roles can be stressful due to tight deadlines, complex problem-solving, and rapid technological changes. However, stress levels vary depending on the specific position, work environment, and individual workload management skills.

What are the top 3 jobs in full time computer science?

The top full-time computer science jobs include software developer, systems analyst, and cybersecurity analyst. These roles typically require strong programming skills, knowledge of computer systems, and often relevant certifications or degrees. They are in high demand across various industries due to ongoing technological growth.

What are the most commonly searched types of Computer Science jobs in Dallas, TX?

The most popular types of Computer Science jobs in Dallas, TX are:

Infographic showing various Full Time Computer Science job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $82,214 per year, or $39.5 per hour.

Data Scientist / Data Science Specialist

Dallas, TX

Adidev Technologies Inc
IT Services • 11 - 50 employees

Full-time

Re-posted 26 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

JOB RESPONSIBILITIES

 

  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.

  • Develop novel ways to help business partners achieve objectives through analysis and modeling

  • Curate and connect external data sets for broad enterprise-wide analytic usage

  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams

  • Utilize machine learning to create repeatable, dynamic, and scalable models

  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods

  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS

 

  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources

  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights

  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage

  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)

  • Familiarity with MLOps frameworks like MLflow.

  • Familiarity with SQL.

  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.

  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications

  • Experience with Python and R, comfortable working with DataFrames

  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)

  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit

  • Experience working with version control systems such as Git and SVN

  • Experience writing complex SQL queries

  • Understanding data warehousing and databases is critical

  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or  PowerBI

QUALIFICATIONS

  • ·Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science

  • Experience with Python

  • Experience with machine learning, Deep Learning

  • Mathematical and statistical background

  • Experience with Hadoop, Hive, and/or Spark

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours) 

Employment Type: FULL_TIME