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Data Science New Grad Jobs in Oregon (NOW HIRING)

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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 ...

However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. We expect East Coast work hours. As Our Corporate Data Scientist, You Will:

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 ...

However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. We expect East Coast work hours. As Our Corporate Data Scientist, You Will:

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 ...

Develop our understanding of new data sources and how they may improve our existing processes and ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Develop our understanding of new data sources and how they may improve our existing processes and ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Develop our understanding of new data sources and how they may improve our existing processes and ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Develop our understanding of new data sources and how they may improve our existing processes and ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Showing results 21-40

Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

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

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

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

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

What job categories do people searching Data Science New Grad jobs in Oregon look for?

The top searched job categories for Data Science New Grad jobs in Oregon are:

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

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

Infographic showing various Data Science New Grad job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Staff Data Scientist - Content Growth & Creator Strategy

OR • On-site, Remote

Nextdoor
Internet and IT • 501 - 1,000 employees

Full-time

Posted 9 days ago


Job description

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product.

At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.

We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. 

The Impact You'll Make

We are looking for a Staff Data Scientist to accelerate execution on priority content investments and elevate the quality of product decision-making. This person will provide end-to-end data science ownership for new and emerging surfaces such as Video, Groups, and Events-areas with limited historical data that require strong product sense, pattern recognition, rapid hypothesis generation, rigorous diagnosis, and fast iteration. They will evaluate feature performance, including through non-standard A/B tests; identify opportunities to grow content supply, contributors, and engagement; partner with Distribution to improve discovery; and connect insights across surfaces to drive portfolio-level impact.

The role will also own the data architecture and quality requirements for content data assets spanning supply, creators, viewers, entities, content types, and surfaces. This includes evolving legacy structures, identifying coverage and quality gaps, and partnering with Analytics Engineering to build and maintain source-of-truth tables and artifacts-an increasingly important foundation for reliable agentic analytics. Finally, we need a working statistician with strong theoretical training and practical experience to restore expertise in quasi-experiments, network experimentation with bias controls, and other sophisticated methods, ensuring the team can distinguish true product impact from confounding factors while maintaining both rigor and velocity.

Your responsibilities will include:

  • Partner with cross-functional teams - including product management, design, engineering, research -  to support product development efforts
  • Experiments: design and measure experiments to inform feature decisions
  • Develop key strategic insights through exploratory data analysis to inform future investments or pivot in strategy
  • Build scalable metrics and dashboards to empower efficient decision-making at Nextdoor 
  • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises
  • Build in-person relationships with team members and contribute to Nextdoor's company culture

What You'll Bring To The Team

  • Staff-level Data Scientist or Tech Lead experience, ideally within the social media or consumer technology space
  • Master's degree or Ph.D. in Statistics
  • Demonstrated expertise in non-randomized A/B testing, network testing, and advanced causal inference methods
  • Experience owning end-to-end product analytics, from identifying opportunities and shaping strategy through launching and measuring new features
  • Strong cross-functional collaboration skills, with a track record of building effective working relationships with Product, Engineering, and other partners
  • The ability to operate as an autonomous technical leader and influence product direction through rigorous analysis, experimentation, and clear communication
  • Expert knowledge of SQL and Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
  • Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives
  • Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.

The starting base salary for this role is expected to range from $190,000 to $283,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.