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

Deloitte

Data Science Consultant

Austin, TX · On-site

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 ...

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science or a related discipline * 5+ years of experience as a Data Scientist with hands-on experience and a track record of ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

LPL Financial

Sr. Analyst, Data Science

Austin, TX · On-site

$85K - $143K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required; Master's degree preferred. #LI-PA Pay Range: $85,902.00 - $143,170.00 Actual base ...

webAI

AI Research Scientist

Austin, TX · On-site

... in Computer Science, Engineering, Mathematics, or a related field Preferred : • Master's or PhD in Machine Learning, Computer Science, AI, or a related field • Experience with distributed ...

Qualcomm

DSP Applications Software Engineer

Austin, TX · On-site

Required : • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering ... math libraries and vector instruction sets is a plus • Detail-oriented with strong problem ...

webAI

AI Research Scientist

Austin, TX · On-site

... in Computer Science, Engineering, Mathematics, or a related field Preferred : • Master's or PhD in Machine Learning, Computer Science, AI, or a related field • Experience with distributed ...

Victory

Data Scientist

Austin, TX · On-site

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 ...

Victory

Data Scientist

Austin, TX · On-site +1

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 ...

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All JobsMath Computer Science JobsMath Computer Science Jobs in Austin, TX

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:
Math Computer Science jobs near you

Senior Data Scientist, Applied Science

Future Secure AI

Austin, TX • On-site

$110K - $210K/yr

Full-time

Posted 19 days ago

Job description

About the Company
At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
We are seeking a highly motivated and talented Sr. Data Scientist to join our core Platform Team in Austin, Texas. As an Applied Scientist, you will be a key contributor to the development and improvement of the AI models that power FutureSecure.ai's proactive intelligence capabilities. You'll work alongside a team of experienced engineers and scientists, applying machine learning, data mining, and statistical analysis to build, deploy, and optimize our platform for seamless human-AI collaboration. This is a chance to be at the forefront of intelligent interactions and shape the future of work.
Responsibilities
  • Model Development & Innovation: Evaluate machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI. This includes exploring new algorithms, techniques, and data sources
  • Data Mining & Feature Engineering: Extract, clean, and analyze large volumes of interaction data from various sources to identify patterns and develop impactful features for our AI models. This will focus on understanding how people work alongside AI systems
  • Model Deployment & Monitoring: Collaborate with engineering teams to deploy machine learning models into production environments and continuously monitor their performance, identifying areas for improvement and retraining
  • Research & Exploration: Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform's capabilities
  • Experimentation & A/B Testing: Design and conduct experiments to evaluate the effectiveness of new models and features, using rigorous A/B testing methodologies to optimize for user experience and collaboration
  • Collaboration & Communication: Effectively communicate technical findings and insights to both technical and non-technical audiences. Collaborate closely with engineers, user experience researchers, and product managers
  • Contribution to Platform Architecture: Work with the Platform Team to ensure model integration, scalability, and efficiency within the overall architecture of FutureSecure.ai
  • Proactive Intelligence Analysis: Leverage data to understand how people interact with AI, anticipating needs and proactively offering support and insights

Minimum Qualifications
  • 5+ years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  • Strong proficiency in machine learning algorithms (e.g., regression, classification, clustering, deep learning)
  • Experience with programming languages such as Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with data mining, data cleaning, and feature engineering
  • Strong analytical and problem-solving abilities
  • Excellent communication and collaboration skills

Preferred Qualifications
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
  • Experience with cloud computing platforms (AWS, Azure, GCP)

Why Join Us?
  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Pay Range
$110,000-$210,000 USD
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

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