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Computer Science Data Jobs in Dallas, TX (NOW HIRING)

Apex Informatics

Data Scientist

Addison, TX · On-site

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... Bachelor's degree in Computer Science, or a related technical field * Deep understanding and some ...

Stride, Inc.

Computer Science CTE Teacher

Denton, TX · Remote

$49K/yr

Computer Science 8-12 OR Computer Information System Residency Requirements: TEXAS The remote High ... Student success will be measured by valid and reliable assessment data, parent and student ...

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Computer Science Data information

What are some common challenges faced by professionals working in computer science data roles, and how can they be addressed?

Professionals in computer science data roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and keeping up with rapidly evolving technologies. Collaboration with cross-functional teams is essential, as data professionals frequently work with engineers, analysts, and business stakeholders to interpret data and deliver actionable insights. To address these challenges, it's important to invest in continuous learning, leverage automation tools for data cleaning, and maintain clear communication channels within the team.

What is the difference between Computer Science Data vs Data Analyst?

AspectComputer Science DataData Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentSoftware development, data engineering, algorithm designData interpretation, reporting, visualization
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, marketing, healthcare
Common Search & ComparisonOften compared for data handling and programming skillsCompared for data interpretation and business insights

Computer Science Data professionals focus on developing algorithms, managing data systems, and building software solutions. Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a Data Scientist in Computer Science, and why are they important?

To thrive as a Data Scientist in Computer Science, you need strong analytical skills, proficiency in statistics, and a solid background in programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools like Python, R, SQL, and machine learning frameworks, as well as certifications such as AWS Certified Data Analytics or Google Data Engineer, are highly valuable. Excellent problem-solving abilities, communication skills, and curiosity help you interpret data insights and explain findings to non-technical stakeholders. These skills ensure you can extract actionable insights from complex data, drive business decisions, and collaborate effectively within multidisciplinary teams.

What is computer science data?

Computer science data refers to the information that is processed, analyzed, and utilized within the field of computer science. This data can include anything from raw numbers and text to images, audio, and video, and is often used in programming, machine learning, artificial intelligence, databases, and data analysis. Understanding how to collect, store, structure, and interpret data is a fundamental skill for computer scientists and is crucial for solving real-world problems using technology.
What cities near Dallas, TX are hiring for Computer Science Data jobs? Cities near Dallas, TX with the most Computer Science Data job openings:
Computer Science Data jobs near you
Infographic showing various Computer Science Data job openings in Dallas, TX as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Data Scientist [Multiple Positions Available]

JPMorganChase

Plano, TX • On-site

Full-time

Posted 20 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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