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New Grad Data Scientist Jobs in Oregon (NOW HIRING)

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES

Applied Scientist

OR · On-site +1

As an Applied Scientist at Upstart, you will improve existing models and develop new approaches ... Navigate complex, messy datasets and build reusable data pipelines, metrics, and analytical ...

We are now hiring for the founding data scientists in this new business area for Netflix. Our goal in the Ided Science team is to deepen our understanding of our ad-tier members, in order to improve ...

... for data entry for billing purposes and logging of case data into the digital archive of the ... If a new graduate, temporary license upon hire and permanent license within six (6) months of hire ...

... for data entry for billing purposes and logging of case data into the digital archive of the ... If a new graduate, temporary license upon hire and permanent license within six (6) months of hire ...

New Grad Angio Tech

Corvallis, OR · On-site

$48.44 - $68.79/hr

... for data entry for billing purposes and logging of case data into the digital archive of the ... If a new graduate, temporary license upon hire and permanent license within six (6) months of hire ...

New Grad Angio Tech

Corvallis, OR · On-site

$17 - $22.25/hr

... for data entry for billing purposes and logging of case data into the digital archive of the ... If a new graduate, temporary license upon hire and permanent license within six (6) months of hire ...

Showing results 21-40

New Grad Data Scientist information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do new grad data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for new grad data scientist in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Oregon?

For New Grad Data Scientist jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for New Grad Data Scientist jobs?

Cities in Oregon with the most New Grad Data Scientist job openings:

Infographic showing various New Grad Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

Lead Data Scientist, AdTech

LP Careers Page

OR • On-site, Remote

Full-time

Re-posted 4 days ago


Job description

MUST HAVE: 

  • Proven experience in digital marketing, performance marketing, or the leadgen industry
  • Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
  • Strong modeling fundamentals: the ability to build effective models that drive business impact
  • Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud
  • Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling
  • Expert Python and SQL

EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.

YOUR ROLE

Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.

You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.

OUTCOMES

  • Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact
  • Deliver buying models that maintain positive ROAS and quality
  • Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth
  • Establish trusted, direct partnership with vertical business stakeholders
  • Produce trusted output: validated, documented, low correction burden
  • Identify and leverage net-new modeling opportunities the business has not flagged

COMPETENCIES

  • Business-first framing: Starts with the problem and the metric, not the model.
  • Full-stack ownership: Stays engaged from problem definition through deployed performance
  • Proactive communication: Closes loops without being chased
  • Collaborative: Leans on ML engineering for the last mile rather than working solo
  • Coachable: Seeks feedback and turns it into visible behavior change
  • Curiosity paired with delivery discipline

NICE TO HAVES

  • Sophisticated ML at companies where paid digital media is core to the business model
  • Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
  • Insurance domain experience
  • Creating state-of-the-art Ad Ranking algorithms
  • Modeling against ad-platform data points (Google, Meta, native)
  • LLMs / deep learning applied to personalization or content
  • Familiarity with Looker

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.