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Remote Applied Sport Science Jobs (NOW HIRING)

Azumo

Data Scientist, Applied AI - Remote

The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ... Bachelor's or Master's in Computer Science, Data Science or related field. * 5+ years of ...

Wealth Inc

Applied Scientist- AI/ML Intern

$45 - $55/hr

Remote/United States About Us Wealth.com is the industry's leading estate planning platform ... Currently pursuing a Bachelor's, Master's OR PhD degree in Computer Science, Electrical or Computer ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field You ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

The Hartford

AVP Applied AI

Charlotte, NC · On-site +1

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

The Hartford

AVP Applied AI

Chicago, IL · On-site +1

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

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All JobsApplied Sport Science JobsRemote Applied Sport Science Jobs

Remote Applied Sport Science information

See salary details

$24.5K

$48.4K

$79K

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

As of Jul 22, 2026, the average yearly pay for remote applied sport science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Applied Sport Scientist, and why are they important?

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.
More about Remote Applied Sport Science jobs
What cities are hiring for Remote Applied Sport Science jobs? Cities with the most Remote Applied Sport Science job openings:
What are the most commonly searched types of Applied Sport Science jobs? The most popular types of Applied Sport Science jobs are:
What states have the most Remote Applied Sport Science jobs? States with the most job openings for Remote Applied Sport Science jobs include:
What job categories do people searching Remote Applied Sport Science jobs look for? The top searched job categories for Remote Applied Sport Science jobs are:
Remote Applied Sport Science jobs near you
Infographic showing various Remote Applied Sport Science job openings in the United States as of July 2026, with employment types broken down into 46% Full Time, 50% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Data Scientist, Applied AI - Remote

Data Scientist, Applied AI - Remote

Azumo

Remote

Full-time

PTO

Posted 8 days ago

Job description

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1)
This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands-on experience working with PyTorch.
We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end-to-end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems.
Key Responsibilities
Model Development & Productionization
  • Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).
  • Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch.
  • Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications.
  • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases.
  • Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD).

Data Engineering & MLOps
  • Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark.
  • Automate training and serving workflows with Airflow or similar orchestration tools.
  • Monitor model performance in production; iterate on drift detection and retraining strategies.
  • Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs.

Software Development Best Practices
  • Write production-grade Python code following SOLID principles, unit tests and code reviews.
  • Collaborate in Agile (Scrum) ceremonies; track work in JIRA.
  • Document architecture and workflows using PlantUML or comparable tools.

Cross-Functional Collaboration
  • Communicate analysis, design and results clearly in English.
  • Partner with DevOps, data engineering and product teams to align on requirements and SLAs.

About Azumo
Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.
At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.
If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co
Requirements
Minimum Qualifications
  • Bachelor's or Master's in Computer Science, Data Science or related field.
  • 5+ years of professional experience with Python in production environments.
  • Solid background in machine learning & deep learning (CNNs, Transformers, LLMs).
  • Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization).
  • Proven track record deploying ML solutions.
  • Expert in pandas, NumPy and scikit-learn.
  • Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence).
  • Strong foundation in statistics and experimental design.
  • Excellent written and spoken English.

Preferred Qualifications
  • Experience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning.
  • Familiarity with big-data ecosystems (Spark, Hadoop).
  • Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes).
  • Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX).
  • Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines.
  • Hands-on experience with vector databases (e.g., Pinecone, FAISS).
  • Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph.
  • Documentation skills using PlantUML or similar.

Benefits
  • Paid time off (PTO)
  • U.S. Holidays
  • Training
  • Udemy free Premium access
  • Mentored career development
  • Profit Sharing
  • $US Remuneration

Apply