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Remote Applied Sport Science Jobs in Texas (NOW HIRING)

Dlapiper

Data Scientist

Houston, TX · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Austin, TX · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Dallas, TX · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

ExxonMobil

Post Doctorate Research Associate

Spring, TX · On-site +1

... Sciences, Inc. (EMBSI). The Associate will support and lead a diverse portfolio of applied research ... Experience with remote sensing integration (LiDAR, UAV, satellite) * Experience with surface ...

ExxonMobil

Post Doctorate Research Associate

Spring, TX · On-site +1

... Sciences, Inc. (EMBSI). The Associate will support and lead a diverse portfolio of applied research ... Experience with remote sensing integration (LiDAR, UAV, satellite) * Experience with surface ...

Viking Recruiting Resources

SAP Basis Engineer

Houston, TX · Remote

$130K - $150K/yr

Our client is seeking a remote SAP Basis Engineer/Application Support Engineer. This is a full time ... Bachelor of Science in Computer Science, Engineering, Applied Sciences, or equivalent work ...

Mwe

Applied AI Solutions Analyst

Austin, TX · On-site +1

$93K - $169K/yr

... in Computer Science, Information Systems, Engineering, or equivalent experience PREFERRED ... Remote-first, collaborative team that ships fast and celebrates impact - Career-defining work at ...

New

Mwe

Applied AI Solutions Analyst

Dallas, TX · On-site +1

$93K - $169K/yr

... in Computer Science, Information Systems, Engineering, or equivalent experience PREFERRED ... Remote-first, collaborative team that ships fast and celebrates impact - Career-defining work at ...

New

2U

Data Scientist II

Crystal City, TX · On-site +1

Applied machine learning Use standard ML techniques (classification, regression, clustering) where ... Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics ...

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Remote Applied Sport Science information

What is remote applied sport science?

Remote applied sport science involves using technology and scientific methods to monitor, assess, and improve athletic performance from a distance. Professionals in this field analyze data such as biometrics, training loads, and recovery metrics to provide personalized recommendations to athletes and coaches without needing to be physically present. This approach allows for flexible support, real-time feedback, and evidence-based decision-making, regardless of geographic location. It is commonly used by sports teams, individual athletes, and organizations aiming to optimize performance through digital platforms.

What are the key skills and qualifications needed to thrive as a remote applied sport scientist?

To thrive as a Remote Applied Sport Scientist, you need a solid background in exercise science, biomechanics, and data analysis, typically supported by a relevant degree and experience in sports performance. Familiarity with athlete monitoring software, wearable technology, and statistical analysis tools like Excel, SPSS, or R is essential. Strong communication, problem-solving, and self-motivation are vital soft skills for collaborating with teams and athletes remotely. These skills ensure accurate data-driven insights, effective remote support, and measurable performance improvements for athletes and organizations.

How does a remote applied sport scientist typically collaborate with coaches and athletes while working off-site?

As a Remote Applied Sport Scientist, collaboration often takes place through digital platforms such as video calls, data-sharing software, and athlete management systems. Regular communication is key—you'll analyze training data, provide actionable insights, and discuss performance goals with coaches and athletes remotely. Building strong relationships and trust from a distance can be a challenge, but effective use of technology and clear communication help ensure that your expertise directly supports athlete development and team performance.

What is the difference between Remote Applied Sport Science vs Remote Sports Performance Coach?

AspectRemote Applied Sport ScienceRemote Sports Performance Coach
CredentialsDegree in Exercise Science, Sports Science, or related field; certifications like CSCS or NSCACertifications such as CSCS, NASM, or NSCA; coaching certifications
Work EnvironmentResearch, data analysis, program development, often in academic or sports organizationsClient-focused, training plans, motivation, and performance improvement via virtual sessions
Industry UsageResearch institutions, sports teams, academic settingsIndividual athletes, teams, fitness centers, online coaching platforms

Remote Applied Sport Science focuses on research, data analysis, and developing training protocols, often within academic or sports organizations. In contrast, Remote Sports Performance Coaches work directly with athletes or clients to improve performance through personalized training plans. Both roles require relevant certifications and a background in sports or exercise science, but their daily tasks and work environments differ significantly.

What are the most commonly searched types of Applied Sport Science jobs in Texas?

The most popular types of Applied Sport Science jobs in Texas are:

What are popular job titles related to Remote Applied Sport Science jobs in Texas?

For Remote Applied Sport Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Applied Sport Science jobs in Texas look for?

The top searched job categories for Remote Applied Sport Science jobs in Texas are:

What cities in Texas are hiring for Remote Applied Sport Science jobs?

Cities in Texas with the most Remote Applied Sport Science job openings:

Remote Applied Sport Science jobs near you
Infographic showing various Remote Applied Sport Science job openings in Texas as of August 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 100% Remote job distribution.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 15 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

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