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Data Science Major Jobs in Oregon (NOW HIRING)

OR ยท Hybrid

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... major metro and varies based on Launch Potato's Levels Framework. Your compensation package ...

OR ยท Hybrid

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... major metro and varies based on Launch Potato's Levels Framework. Your compensation package ...

Senior AI Engineer - SFL Scientific

Portland, OR ยท On-site

$110K - $152K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data ... major transformational projects or transactions. Are you eager to shape the future of emerging ...

Collaborate with Biostatistics and Data Science to engineer statistical analysis plans, interpret ... Rigorous analytical skills with the ability to pressure-test study assumptions and ground major ...

New

OR ยท On-site

$388K - $619K/yr

In this role, you will partner closely with data scientists and other engineers to build low ... You are proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any ...

Data Engineer (L5)

OR ยท On-site +1

$380K - $610K/yr

... science teams to enable a culture of learning. Learn more about the work of data engineers at ... one major programming language (e.g. Java, Scala, Python) and comfortable working with SQL You ...

OR ยท On-site

Posit is the open-source data science company. We help people understand and improve the world ... Proven, hands-on experience building and scaling a GTM partnership with a major cloud data platform ...

Utilize advanced pricing optimization architecture (e.g., PROS) along with data-science models to ... needs of major promotions before executive escalation. * Synthesize highly complex analytical ...

Utilize advanced pricing optimization architecture (e.g., PROS) along with data-science models to ... needs of major promotions before executive escalation. * Synthesize highly complex analytical ...

AI Solutions Engineering Delivery Lead

Portland, OR ยท On-site

$108K - $143K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

Certification in Solutions Architecture for one or more of the major public clouds (AWS, Google Cloud, or Azure). * Bonus points: Degree in Computer Science with a focus on Data Science, Data ...

Showing results 21-40

Data Science Major information

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are popular job titles related to Data Science Major jobs in Oregon? For Data Science Major jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Science Major jobs in Oregon look for? The top searched job categories for Data Science Major jobs in Oregon are:
What cities in Oregon are hiring for Data Science Major jobs? Cities in Oregon with the most Data Science Major job openings:
Infographic showing various Data Science Major job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Staff Applied Scientist, AdTech

LP Careers Page

OR โ€ข Hybrid

Full-time

Re-posted 7 days ago


Job description

MUST HAVE:ย 

  • 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.