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Fulltime Data Science Jobs in Oregon (NOW HIRING)

Description We're seeking an exceptional, hands-on Data Scientist with deep expertise in data ... San Francisco Employment Type: FULL_TIME

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ...

Data Scientist

OR · On-site +1

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ...

OR · On-site

Our Data Science team helps scale data driven decision making in these areas. We deep dive to ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

$114K/yr

Master's degree in a quantitative field like computer science, engineering, statistics, mathematics ... EXPERIENCE - 5 Years of Experience Employment Type: FULL_TIME

OR · On-site

$372K - $600K/yr

Work closely with data science and engineering stakeholders to act as a strategic thought partner ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

OR · On-site

$480K - $750K/yr

The Member Experience Data Science and Engineering team is at the forefront of driving innovations ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

OR · On-site

What you'll do We're looking for an accomplished data science and analytics leader to lead a ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

OR · On-site

$372K - $600K/yr

Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

OR · On-site

$372K - $600K/yr

Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, machine learning ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

This is a full-time 12-month, tenure-track position with 80% research and 20% teaching appointment focused on computational biology/data science in the Department of Plant Pathology and Crop ...

OR · On-site

$372K - $600K/yr

Our Commerce Data Science team works with a broad range of collaborators and stakeholders ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

This is a full-time 12-month, tenure-track position with 80% research and 20% teaching appointment focused on computational biology/data science in the Department of Plant Pathology and Crop ...

This is a full-time 12-month, tenure-track position with 80% research and 20% teaching appointment focused on computational biology/data science in the Department of Plant Pathology and Crop ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

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Fulltime Data Science information

What is the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

What are popular job titles related to Fulltime Data Science jobs in Oregon? For Fulltime Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Fulltime Data Science jobs in Oregon look for? The top searched job categories for Fulltime Data Science jobs in Oregon are:
What cities in Oregon are hiring for Fulltime Data Science jobs? Cities in Oregon with the most Fulltime Data Science job openings:
Infographic showing various Fulltime Data Science job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Director I, Data Science, Enterprise Data & Data Science

Director I, Data Science, Enterprise Data & Data Science

Liberty Mutual

On-site

Full-time

Posted 15 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

46th of 260 rated insurance


Job description

Description

We're seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this role, you'll identify, evaluate, and develop solutions at the intersection of data science, generative AI, and enterprise data strategy-including GenAI evaluation frameworks and semantic data layers. You'll also serve as a community champion, driving the adoption of best practices across a large, collaborative data science organization.

Responsibilities:

  • Design, build, and evaluate generative AI solutions and agentic systems
  • Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility
  • Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety
  • Collaborate with other data scientists, machine learning engineers, data engineers, and business partners
  • Champion best practices and tooling across a broad data science community
  • Lead cross-functional working groups and contribute to innovation in AI/ML methods
  • Communicate complex technical findings clearly to non-technical stakeholders
  • Serve as a technical consultant on complex, high-impact projects
  • Please note this is an individual contributor role
Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Ability to establish and build relationships within and outside the organization.
  • Ability to give effective training and presentations to management and other groups.
  • Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
  • Broad knowledge of business drivers and market context.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.

Preferred Experience:

  • Strong foundation in data science and machine learning
  • Proven MLOps expertise across the complete data science lifecycle
  • Experience building GenAI solutions and agentic systems
  • Familiarity with GenAI evaluation methodologies
  • Experience with data semantic layers and/or knowledge graphs
  • Track record of cross-functional collaboration in a large enterprise environment
  • Ability to work ET hours 
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

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Liberty Mutual logo

About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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