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Associate Computer Science Jobs in McKinney, TX (NOW HIRING)

Lennar

Sr Manager, Data Science

Irving, TX

... Associates throughout their career. Lennar has been recognized as a Fortune 500 company and ... Bachelor's degree or higher in a quantitative field such as Statistics, Computer Science ...

Lantern

Data Scientist

Dallas, TX · On-site

Bachelor's degree in computer science or related field * Experience building solutions with Azure ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

JPMorganChase

Data Owner Senior Associate

Plano, TX · On-site

$15.50 - $20/hr

Required : • Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). • 5+ years' experience in creating predictive models, and generative AI ...

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred. Minimum of a Bachelor's degree is required.

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All JobsAssociate Computer Science JobsAssociate Computer Science Jobs in McKinney, TX

Associate Computer Science information

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$8

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$29

How much do associate computer science jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for associate computer science in McKinney, TX is $17.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.75 per hour, depending on experience, location, and employer.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software sales executives, cloud solutions architects, and certain cybersecurity specialists can earn $200,000 or more annually without a traditional degree, often relying on extensive experience, certifications, and technical skills. Sales positions in technology companies and specialized IT consulting also have high earning potential without requiring a formal degree.

What jobs pay 4000 a week without a degree?

In the field of computer science, roles such as freelance software developers, cybersecurity consultants, or cloud engineers can potentially earn $4,000 or more weekly through project-based work or contracts, often requiring strong technical skills, certifications, and experience. These positions typically involve remote work, self-employment, or contract arrangements rather than traditional employment, and income depends on skill level, client base, and project scope.

What are the key skills and qualifications needed to thrive as an Associate in Computer Science, and why are they important?

To thrive as an Associate in Computer Science, you need foundational knowledge in programming, algorithms, data structures, and typically a bachelor’s degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, experience with version control systems such as Git, and understanding of databases are commonly required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with others help you stand out in this role. These competencies ensure you can successfully contribute to software development projects, solve technical challenges, and support team goals in a dynamic technology environment.

What is the difference between Associate Computer Science vs Computer Programmer?

AspectAssociate Computer ScienceComputer Programmer
Required CredentialsAssociate's degree in Computer Science or related fieldTypically a bachelor's degree or coding bootcamp certification
Work EnvironmentEntry-level, team-based projects in tech companies, startups, or IT departmentsWriting, testing, and debugging code in various programming languages
Employer & Industry UsageCommon in tech firms, government agencies, and educational institutionsWidely used across software companies, finance, and tech industries

The main difference is that an Associate Computer Science focuses on foundational knowledge and may involve broader IT tasks, while a Computer Programmer specializes in coding and software development. Both roles often require similar educational backgrounds, but their daily tasks and career paths differ.

What types of projects and technologies can an Associate Computer Science professional expect to work on in their first year?

As an Associate Computer Science professional, you will often be assigned to entry-level projects such as developing or maintaining software applications, testing code, or assisting with database management. You'll likely work with common programming languages like Java, Python, or C++, and may be introduced to collaborative tools such as version control systems (e.g., Git). The team environment typically includes regular code reviews and mentorship from senior engineers, providing opportunities to learn best practices and develop your technical skills. Over time, you'll gain exposure to more complex tasks and technologies as you build your experience.

What is an Associate Computer Science professional?

An Associate Computer Science professional typically holds an associate degree in computer science or a related field and works in entry-level positions within the tech industry. They are responsible for assisting with software development, troubleshooting, maintaining computer systems, and supporting IT teams. These professionals often work under the supervision of more experienced engineers or developers and may contribute to coding, testing, and basic technical support. The role is a great starting point for those looking to build a career in technology and can lead to more advanced opportunities with experience and further education.

Is an Associates in computer science useful?

An associate's degree in computer science provides foundational knowledge of programming, algorithms, and systems, which can help qualify for entry-level roles such as support technician or junior developer. It can also serve as a stepping stone to a bachelor's degree or specialized certifications, increasing job opportunities in the tech field.

What can you do with an associate's degree in computer science?

An associate's degree in computer science prepares individuals for entry-level roles such as computer support specialist, help desk technician, or network technician. It provides foundational skills in programming, troubleshooting, and basic networking, often enabling employment in IT departments or technical support environments.
What are the most commonly searched types of Computer Science jobs in McKinney, TX? The most popular types of Computer Science jobs in McKinney, TX are:
What job categories do people searching Associate Computer Science jobs in McKinney, TX look for? The top searched job categories for Associate Computer Science jobs in McKinney, TX are:
What cities near McKinney, TX are hiring for Associate Computer Science jobs? Cities near McKinney, TX with the most Associate Computer Science job openings:
Associate Computer Science jobs near you
Infographic showing various Associate Computer Science job openings in McKinney, TX as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $36,703 per year, or $17.6 per hour.
Manager, Data Scientist - Credit Review

Manager, Data Scientist - Credit Review

Capital One

Plano, TX • On-site

Full-time

Posted 19 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

71st of 144 rated banks

Job description

Manager, Data Scientist - Credit Review

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

In Capital One's Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can't prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners.

We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company's bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation.

Role Description

In this role, you will:

  • Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data

  • Build statistical and machine learning models to challenge the models in production

  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

  • Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love

The Ideal Candidate is:

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

  • At least 1 year of experience leveraging open source programming languages for large scale data analysis

  • At least 1 year of experience working with machine learning

  • At least 1 year of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics

  • At least 4 years' experience in Python, Scala, or R for large scale data analysis

  • At least 4 years' experience with machine learning

  • At least 4 years' experience with predictive modeling

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Charlotte, NC: $179,400 - $204,700 for Mgr, Data Science


McLean, VA: $197,300 - $225,100 for Mgr, Data Science


Plano, TX: $179,400 - $204,700 for Mgr, Data Science


Richmond, VA: $179,400 - $204,700 for Mgr, Data Science


Riverwoods, IL: $179,400 - $204,700 for Mgr, Data Science







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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