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Remote Applied Sport Science Jobs in Oregon (NOW HIRING)

Upstart

Applied Scientist

OR · On-site +1

... science, or a related quantitative field. * 0-2 years of experience conducting machine learning ... Remote Travel requirements As a digital first company, the majority of your work can be ...

LMI

AI/ML Engineer - Clearance Required

$110K - $195K/yr

This role focuses on applied analytics and model implementation, not independent analytic strategy ... tactical sports scientists, and software teams to translate Government-directed analytic ...

phData

Applied AI Solutions Architect

OR · On-site +1

$63 - $83/hr

Bachelor's or master's degree in computer science, engineering, data science, or a related ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

LTS

Senior Applied AI Engineer

OR · Remote

$122K - $161K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software ...

LMI

Data Engineer - Clearance Required

$101K - $170K/yr

Collaborate with epidemiologists, research psychologists, and tactical sports scientists to ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Instacart

Senior Data Scientist (I & II)

OR · Remote

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided ... MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. Currently Opened Roles ...

Spectra

Title Concur Administrator | Full-Time | Remote

$82K - $106K/yr

Bachelor's degree in Information Systems, Computer Science, Finance, Accounting, or a related field ... United to Make a Difference At OVG, we understand that to continue positively disrupting the sports ...

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All JobsApplied Sport Science JobsRemote Applied Sport Science JobsRemote Applied Sport Science Jobs in Oregon

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

Applied Scientist

Upstart

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

The Team: 

Upstart's Unsecured Underwriting Machine Learning team develops and improves the models that inform credit decisions for our unsecured lending products. The team conducts machine learning research, evaluates model performance, and partners closely with engineering teams to translate promising ideas into scalable  model improvements.

As an Applied Scientist, you will research and implement enhancements to Upstart's core unsecured underwriting model. Your work will directly influence credit decisioning and help the team increase the pace of research while maintaining the rigor, reliability, and responsible oversight required of production underwriting models.

As an Applied Scientist in the Unsecured Underwriting Machine Learning team at Upstart, you will:

  • Research machine learning and statistical approaches that improve the predictive performance of unsecured underwriting models.
  • Design, implement, and evaluate model enhancements using rigorous experimentation and validation methods.
  • Analyze model performance and downstream effects to confirm that proposed changes improve decisioning reliably.
  • Partner with various engineering teams to support technical reviews, implementation, and deployment.
  • Translate research findings into clear recommendations, documented methodologies, and production-ready solutions.

Minimum Qualifications 

  • Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
  • 0-2 years of experience conducting machine learning, statistical modeling, or applied quantitative research in an academic or industry setting.
  • Experience developing and evaluating machine learning or statistical models using Python.
  • Demonstrated knowledge of probability, statistics, and machine learning methods.
  • Experience designing experiments or validation analyses to assess model accuracy, reliability, or predictive performance.

Preferred Qualifications

  • PhD in a quantitative field.
  • Knowledge of supervised learning, model evaluation, and feature engineering techniques.
  • Experience working with large or complex datasets and translating research concepts into implemented solutions.
  • Ability to balance research velocity with analytical rigor, model reliability, and responsible decision-making.
  • Strong written and verbal communication skills, with the ability to clearly explain technical concepts and collaborate effectively with cross-functional teams and stakeholders from diverse backgrounds.

Position location This role is available in the following locations: Remote

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

What you'll love: 

  • Competitive Compensation (base + bonus & equity)
  • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 
  • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
  • Employee Stock Purchase Plan (ESPP)
  • Life and disability insurance
  • Generous holiday, vacation, sick and safety leave  
  • Supportive parental, family care, and military leave programs
  • Annual wellness, technology & ergonomic reimbursement programs
  • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
  • Catered lunches + snacks & drinks when working in offices

#LI-REMOTE

#LI-Associate 

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