1

Computer Science Creative Jobs in Texas (NOW HIRING)

If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

PDK/CAD Engineer

Austin, TX · On-site

$100K - $500K/yr

Experienced in troubleshooting complex CAD issues and developing creative work-around solutions ... D. in Electrical Engineering and/or Computer Science with 5+ years of industry experience. * Hands ...

Senior Software Engineer

Austin, TX · On-site

$121.40K - $160.10K/yr

... BS in Computer Science or related fields with 6+ years of professional experience or MS with 4+ ... creative and effective solutions in conformance to emerging technology standards Team player with ...

Senior Software Engineer

Austin, TX

$121.40K - $160.10K/yr

Has had to design creative engineering solutions frequently * A problem solver with a sound computer science background. * Enjoys coming up with a new code architecture, studying a new open-source ...

next page

Showing results 1-20

Computer Science Creative information

See Texas salary details

$37.3K

$84.1K

$128.6K

How much do computer science creative jobs pay per year?

As of May 29, 2026, the average yearly pay for computer science creative in Texas is $84,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $121,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Computer Science Creative, you need strong programming skills, a solid understanding of computer science principles, and often a degree in computer science or a related field. Familiarity with tools such as version control systems (e.g., Git), creative coding platforms (e.g., Processing, p5.js), and design or multimedia software is common. Exceptional problem-solving abilities, creativity, and collaborative communication help individuals stand out in this hybrid role. These skills enable innovative solutions and effective collaboration on interdisciplinary projects blending technology and creative expression.

How does a Computer Science Creative typically collaborate with other departments to deliver innovative solutions?

As a Computer Science Creative, you’ll frequently work cross-functionally with teams such as design, marketing, and product management. Collaboration often involves brainstorming sessions, prototyping, and translating technical concepts into user-friendly experiences. You’ll need to communicate complex ideas clearly and be receptive to feedback from non-technical colleagues to ensure that solutions meet both technical requirements and business objectives. This collaborative approach not only enhances the final product but also fosters a dynamic and supportive work environment.

What is a Computer Science Creative?

A Computer Science Creative is a professional who combines technical expertise in computer science with creative skills to develop innovative solutions, digital art, interactive media, or engaging user experiences. These individuals often work at the intersection of technology and creativity, collaborating on projects like video games, digital installations, or creative coding. They may have roles in industries such as entertainment, advertising, education, or technology startups. Their work often involves programming, design, problem-solving, and a deep understanding of both artistic and technical principles.

What is the difference between Computer Science Creative vs Software Developer?

AspectComputer Science CreativeSoftware Developer
Required CredentialsBachelor's in Computer Science, Creative Arts, or related fields; portfolio often valuedBachelor's in Computer Science or Software Engineering; coding certifications beneficial
Work EnvironmentDesign studios, tech companies, startups; focus on innovative projectsOffice settings, tech firms, startups; primarily coding and debugging
Industry UsageTech, gaming, multimedia, advertisingSoftware development, app creation, web development
Common Search/ComparisonYesNo

Computer Science Creative combines technical skills with artistic and design elements, focusing on innovative digital projects. Software Developers primarily write, test, and maintain code for software applications. While both roles require programming knowledge, Computer Science Creative emphasizes creativity and design, whereas Software Developers focus on functional software development.

What cities in Texas are hiring for Computer Science Creative jobs? Cities in Texas with the most Computer Science Creative job openings:
Data Science Consultant

Data Science Consultant

Deloitte

Austin, TX • On-site

Other

Posted 26 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. 

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means: 

  • Ability to understand business goals and translate them into Machine Learning use cases and model design
  • Understanding and applying clustering/sampling techniques to design
  • Grow your understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  • Being able to interpret the models that are being generated 
  • Developing proofs of concept to verify your ideas
  • Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
  • Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required:

  • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. 
  • At least 2+ years of industry experience outside of academia
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred:

  • A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
  • Good problem decomposition skills and autonomy when faced with solving data problems 
  • Experience manipulating large marketing data sets and performing ETL
  • Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
  • Proficiency in high level scripting language, such as Python or R
  • Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Experience with Deep Learning architectures and/or Reinforcement Learning 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. 

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means: 

  • Ability to understand business goals and translate them into Machine Learning use cases and model design
  • Understanding and applying clustering/sampling techniques to design
  • Grow your understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  • Being able to interpret the models that are being generated 
  • Developing proofs of concept to verify your ideas
  • Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
  • Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required:

  • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. 
  • At least 2+ years of industry experience outside of academia
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred:

  • A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
  • Good problem decomposition skills and autonomy when faced with solving data problems 
  • Experience manipulating large marketing data sets and performing ETL
  • Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
  • Proficiency in high level scripting language, such as Python or R
  • Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Experience with Deep Learning architectures and/or Reinforcement Learning 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom