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Applied Mathematics Computer Science Jobs in Austin, TX

Apple

Demographic Data Scientist

Austin, TX

... Computer Science, Engineering, Statistics, Geographic Information Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science. Equipped with deep knowledge of statistical ...

Computer Futures

Software Development Sr. Engineer

Austin, TX · On-site

$121K - $160K/yr

... mathematics, computer science, or related discipline preferred Company : As one of the world's most dynamic and highly regarded IT recruitment consultancies. Founded in 1986, the company is ...

Apple

Demographic Data Scientist

Austin, TX · On-site

... Computer Science, Engineering, Statistics, Geographic Information Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science. Equipped with deep knowledge of statistical ...

Apple, Inc.

Demographic Data Scientist

Austin, TX · On-site

... Computer Science, Engineering, Statistics, Geographic Information Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science. Equipped with deep knowledge of statistical ...

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All JobsApplied Mathematics Computer Science JobsApplied Mathematics Computer Science Jobs in Austin, TX

Applied Mathematics Computer Science information

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

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These roles often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or MATLAB in various industries including finance, technology, and research.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.

What are popular job titles related to Applied Mathematics Computer Science jobs in Austin, TX?

For Applied Mathematics Computer Science jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics Computer Science jobs in Austin, TX look for?

The top searched job categories for Applied Mathematics Computer Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Applied Mathematics Computer Science jobs?

Cities near Austin, TX with the most Applied Mathematics Computer Science job openings:

Applied Mathematics Computer Science jobs near you
Infographic showing various Applied Mathematics Computer Science job openings in Austin, TX as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 100% In-person job distribution.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 21 hours ago

Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities

  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:

  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude

  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications

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