2

Remote Applied Sport Science Jobs in Oregon (NOW HIRING)

As we rapidly integrate new technologies into our platform, practical applied experience in the AI ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Electrical Engineer

OR · On-site +1

We make carbon science accessible and actionable with our end-to-end platform. Global citizens with ... S., we offer both remote-friendly work options and dynamic, in-person experiences with offices ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

Advanced degree preferred (MBA or Master's in computer science, applied statistics, mathematics, or ... Locations US Remote, Compensation is dependent on location and level. Includes base, bonus and ...

Paralegal

Newport, OR

$5.6K - $6.8K/mo

A typical way to obtain the required qualifications would be an Associate of Applied Science in in ... remote work style. 04 List all professional software/applications you are proficient with ...

Remote, Travel 50%of time, as needed.Your Responsibilities * Market Analysis: assess and ... Bachelor's degree (Technical, Scientific, or Engineering) or equivalent experience. * 10+ years in ...

Paralegal

Newport, OR · On-site +1

$5.6K - $6.8K/mo

This role offers flexibility, with nearly 100% remote work, while requiring occasional onsite ... A typical way to obtain the required qualifications would be an Associate of Applied Science in in ...

Showing results 21-40

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 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 cities in Oregon are hiring for Remote Applied Sport Science jobs?

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

Ads AI Analytics Lead II

Instacart

OR • On-site, Remote

Full-time

Re-posted 25 days ago


Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

41st of 64 rated delivery companies


Job description

Overview

The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance.

As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift.

About the Job

  • Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
  • Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
  • Ingest and enrich unstructured Ads content and publish retrievalready datasets using our managed search/vector services.
  • Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and reranking; set quality/latency targets and iterate via experiments.
  • Design agent reasoning and policies on ads, including tool definitions and humanintheloop approvals.
  • Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
  • Run A/B or uplift experiments to quantify impact and guide iteration.
  • Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and timetoinsight.

About You

Minimum Qualifications

  • 3-6 years in analytics engineering, data science, or applied AI with strong SQL and Python.
  • 2+ years of domain expertise in ads, retail, or e-commerce data.
  • Advanced Proficiency in Python and SQL, with experience using dbt and Snowflake or BigQuery, including skills in data modeling, testing, and managing data contracts.
  • Deep Expertise in orchestrating data pipelines using dbt and Airflow
  • Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar)
  • Ability to design offline/online evaluations and run A/B or uplift tests
  • Fluency in Ads analytics concepts such as ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
  • Strong stakeholder communication with a track record of shipping production data or AI systems that drove business impact.
  • Understanding of ML models to drive recommendations on bid, keywords, and budgets
  • Experience with evaluation and guardrail frameworks and humanintheloop QA.

Preferred Qualifications

  • Strong understanding of AI and machine learning concepts, with experience creating AI-driven products.
  • Deep expertise in advertising products, including leading and driving automation projects.
  • Proven ability to improve operational efficiency through automation initiatives in fast-paced environments.
  • Applied experience in modeling techniques for Ads, including forecasting, anomaly detection, uplift modeling, and causal inference.
  • Hands-on experience with workflow automation and low-code development platforms (Zapier, n8n, Gumloop, Superblocks)
  • Familiarity with retail media or ad platforms, including Amazon, Google, Meta, Shopify, or DoorDash.

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012