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Remote Applied Computer Science Jobs in Austin, TX

Remote (USA) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications: ✔ ... Computer Science, Information Technology, or a related field

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Bachelor's degree in Computer Science or equivalent. * Experience: * 8+ years of programming ...

Patent Agent

Austin, TX · Remote

$180K - $225K/yr

Fully Remote Position! Excellent Compensation and Benefits! Billable Hours: 1,400/year National law ... computer science, or a related physical science or engineering discipline; 2. Have at least four ...

Bachelor's or Master's degree in Computer Science, Engineering, related field, or equivalent ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Posted today

Sr. Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

... remote teams. Support production issue resolutions per need. Participate in the development ... Bachelor's degree or foreign equivalent in Computer Science, Information Technology, Computer ...

Showing results 21-40

Remote Applied Computer Science information

See Austin, TX salary details

$82.8K

$101.6K

$134.3K

How much do remote applied computer science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote applied computer science in Austin, TX is $101,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $114,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Applied Computer Science vs Remote Software Developer?

AspectRemote Applied Computer ScienceRemote Software Developer
Required CredentialsBachelor's in Computer Science or related field; certifications varyBachelor's in Computer Science or related field; certifications optional
Work EnvironmentResearch, data analysis, algorithm development, often in tech or academiaDesign, coding, testing, and maintaining software applications
Employer & Industry UsageTech companies, research institutions, academiaTech firms, startups, software development agencies
Common Search & ComparisonYesYes

Remote Applied Computer Science focuses on research, algorithms, and data analysis, often in academic or research settings. Remote Software Developers primarily design and build software applications. While both roles require a computer science background, their daily tasks and industry applications differ significantly.

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

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

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

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

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • On-site, Remote

Full-time

Re-posted 2 days 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