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Remote Applied Sport Science Jobs in Arizona (NOW HIRING)

Arizona Department of Administration

$20 - $22/hr

REMOTE OPTIONS, PHOENIX Categories: Research, Program Management, Misc/Other/Not Applicable OFFICE ... Selective Preference(s): • Pursuing a Bachelors in Economics, Data Science, Political Science ...

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Remote Applied Sport Science information

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 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 most commonly searched types of Applied Sport Science jobs in Arizona? The most popular types of Applied Sport Science jobs in Arizona are:
What are popular job titles related to Remote Applied Sport Science jobs in Arizona? For Remote Applied Sport Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Applied Sport Science jobs in Arizona look for? The top searched job categories for Remote Applied Sport Science jobs in Arizona are:
What cities in Arizona are hiring for Remote Applied Sport Science jobs? Cities in Arizona with the most Remote Applied Sport Science job openings:
Remote Applied Sport Science jobs near you

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Re-posted 24 days ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.