1

Math Computer Science Jobs in Austin, TX (NOW HIRING)

AI and Data Science Engineer II

Austin, TX · On-site

$113K - $136K/yr

Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field * 2+ years of industry experience outside of academia applying ...

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, plus 5+ years of experience in data science, machine ...

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM-related field with 5+ yrs. of experience in software development. OR * Master's degree in ...

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM-related field with 3+ yrs. of experience in software development. OR * Master's degree in ...

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Education & Experience * BS/MS/PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ...

Master's degree or foreign equivalent degree in Computer Science, Engineering, Business Administration, Mathematics, or a related field and one year of experience in the job offered or a related ...

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Education & Experience * BS/MS/PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ...

Master's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered ...

Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, or a related field and one year of experience in the job offered or a related occupation. Employer will ...

next page

Showing results 1-20

Math Computer Science information

See Austin, TX salary details

$22.3K

$58.3K

$93.7K

How much do math computer science jobs pay per year?

As of Jun 6, 2026, the average yearly pay for math computer science in Austin, TX is $58,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $69,400.00 per year, depending on experience, location, and employer.

What is the difference between Math Computer Science vs Data Scientist?

AspectMath Computer ScienceData Scientist
Required CredentialsDegree in Math, Computer Science, or related fieldsDegree in Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, tech firms, analytics teams
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, startups, consulting firms
Common Search & Comparison IntentUnderstanding technical roles, skills, and educationData analysis, modeling, and business insights

Math Computer Science focuses on theoretical and applied aspects of mathematics and computer science, often emphasizing algorithms, proofs, and computational theory. Data Scientists apply statistical and programming skills to analyze data, generate insights, and support decision-making. While both roles require strong analytical skills and programming knowledge, Math Computer Science leans more toward research and development, whereas Data Science is more business and application-oriented.

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

To thrive as a Math Computer Scientist, you need a strong background in mathematics, algorithms, programming, and typically a degree in computer science, mathematics, or a related field. Proficiency in programming languages such as Python, C++, or Java, and experience with mathematical software like MATLAB or Mathematica, are commonly required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and presenting findings. These skills are important to design efficient algorithms, solve computational problems, and contribute effectively to research and development in technology-driven environments.

How do professionals in Math Computer Science typically collaborate with other departments within an organization?

Professionals in Math Computer Science often work closely with teams such as data science, engineering, finance, and product development. Their strong analytical and programming skills enable them to design algorithms, optimize processes, and interpret data, which are essential for cross-functional projects. Regular collaboration may involve participating in meetings, contributing to code reviews, and providing mathematical insights to support decision-making. Building effective communication skills is important, as explaining complex concepts to non-technical colleagues is a common part of the role.

What are Math Computer Science jobs?

Math Computer Science jobs are roles that blend mathematics and computer science skills to solve complex problems, often involving algorithms, data analysis, software development, and mathematical modeling. Professionals in this field may work as data scientists, software engineers, cryptographers, quantitative analysts, or researchers. These jobs typically require strong analytical thinking, proficiency in programming languages, and a solid understanding of mathematical concepts. Industries such as technology, finance, healthcare, and academia frequently hire people with this background. These roles often involve designing efficient algorithms, analyzing large datasets, and creating models to predict outcomes or optimize processes.
What cities near Austin, TX are hiring for Math Computer Science jobs? Cities near Austin, TX with the most Math Computer Science job openings:
AI and Data Science Engineer II

AI and Data Science Engineer II

Deloitte

Austin, TX • On-site

$113K - $136K/yr

Other

Posted 4 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

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 July 11, 2026

Work you'll do

As an AI and Data Science Engineer II on the Advertising, Marketing & Commerce team, you will be responsible for...

  • Translating business goals into machine learning use cases and model design approaches.
  • Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
  • Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
  • Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
  • Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

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:

  • Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • 2+ years of industry experience outside of academia applying data science or machine learning methods
  • Experience translating business goals into machine learning use cases and model design
  • Experience performing exploratory data analysis and developing predictive models
  • Ability to travel 30%, on average, based on the work you do and the clients 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:

  • Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • Experience manipulating large marketing data sets and performing extract, transform, and load activities
  • Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
  • Experience with data sets generated in advertising technology or marketing technology environments
  • Experience presenting complex data insights to non-technical audiences
  • Experience with deep learning architectures 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 $86,700 - $170,900.

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:

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 July 11, 2026

Work you'll do

As an AI and Data Science Engineer II on the Advertising, Marketing & Commerce team, you will be responsible for...

  • Translating business goals into machine learning use cases and model design approaches.
  • Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
  • Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
  • Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
  • Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

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:

  • Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • 2+ years of industry experience outside of academia applying data science or machine learning methods
  • Experience translating business goals into machine learning use cases and model design
  • Experience performing exploratory data analysis and developing predictive models
  • Ability to travel 30%, on average, based on the work you do and the clients 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:

  • Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • Experience manipulating large marketing data sets and performing extract, transform, and load activities
  • Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
  • Experience with data sets generated in advertising technology or marketing technology environments
  • Experience presenting complex data insights to non-technical audiences
  • Experience with deep learning architectures 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 $86,700 - $170,900.

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