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Remote Bachelor Applied Science Jobs in Oregon (NOW HIRING)

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 ...

Experience solving real-world machine learning or data science problems in a high-impact production ... Remote Time zone requirements The team operates on the East/West coast time zones.

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 ...

Senior Applied AI Engineer

OR · On-site +1

$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 ...

Bachelor's degree in Computer Science, Engineering, or a related field (advanced degree preferred ... Strong foundation in applied ML techniques such as learning-to-rank, embeddings, gradient boosting ...

Paralegal

Newport, OR · On-site +1

$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 ...

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 ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

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 ...

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

... of applied ML and platform engineering-collaborating closely with Research Scientists, Data ... Remote-US Time zone requirements The team operates on the East/West coast time zones. Travel ...

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Remote Bachelor Applied Science information

What is the difference between Remote Bachelor Applied Science vs Remote Data Analyst?

AspectRemote Bachelor Applied ScienceRemote Data Analyst
Required CredentialsBachelor's degree in applied science or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentRemote, often in research or technical settingsRemote, primarily analyzing data and generating reports
Industry UsageResearch institutions, tech companies, manufacturingFinance, marketing, healthcare, tech
Common Search IntentJobs requiring applied science backgroundJobs focused on data analysis and interpretation

The Remote Bachelor Applied Science and Remote Data Analyst roles share similarities in requiring a bachelor's degree and remote work settings. However, the Applied Science role emphasizes technical research and applied projects, while Data Analysts focus on analyzing data sets to inform business decisions. Both are in high demand across various industries, but their core functions and skill sets differ slightly.

What are popular job titles related to Remote Bachelor Applied Science jobs in Oregon?

For Remote Bachelor Applied Science jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Remote Bachelor Applied Science job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Applied Scientist

Upstart

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 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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