1

Hourly Data Scientist Jobs in Oregon (NOW HIRING)

$40/hr

Hourly Data Analyst Department: Asst/Assoc Professor Reports To: Associate Professor Position ... CSTR is a worldwide leading institution in solar and space physics, operating scientific ...

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As our Data Scientist, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Data Scientist, your ...

Data Scientist

OR · On-site +1

As a Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to ...

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

New

Data science is a competitive differentiator for Nike and is fundamentally changing how the company serves athletes and consumers around the world. The Data Science & Analytics team builds technical ...

Lead Data Scientist

OR · On-site +1

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

Senior Data Scientist

OR · On-site +1

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven solutions for clinical trials. In this position, you will drive the development of statistical models ...

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the delivery of innovative analytical solutions to help answer the organization's pressing challenges and ...

We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to building an uncompromising, mathematically rigorous single source of truth for enterprise consumer ...

next page

Showing results 1-20

Hourly Data Scientist information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do hourly data scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for hourly 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 an hourly data scientist?

Hourly data scientists are professionals who analyze and interpret complex data to help organizations make data-driven decisions, but they are paid on an hourly basis rather than receiving a fixed salary. Their tasks can include building predictive models, managing and cleaning data, and communicating findings to stakeholders. Hiring data scientists on an hourly basis allows businesses to access specialized expertise for specific projects or short-term needs without committing to a full-time hire.

What skills and qualifications are needed to thrive as an hourly data scientist?

To thrive as an Hourly Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, usually supported by a degree in a STEM field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms is typically required. Excellent problem-solving, time management, and communication skills help hourly data scientists deliver impactful insights efficiently. These abilities are essential for providing high-quality, actionable solutions within time constraints in a flexible or contract-based work environment.

How does the structure of hourly work impact collaboration and project involvement for data scientists?

As an hourly data scientist, you may be assigned to specific projects or tasks based on immediate business needs, which can mean working with different teams on a rotating basis. This structure offers flexibility and exposure to a variety of datasets and problems, but it can also present challenges in building long-term relationships or seeing projects through from start to finish. To succeed, it's important to communicate proactively, quickly adapt to new team dynamics, and document your work thoroughly for smooth handoffs. Many organizations use collaborative tools and regular check-ins to ensure hourly team members remain integrated and informed.

What is the difference between Hourly Data Scientist vs Data Analyst?

AspectHourly Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentProject-based, consulting, or freelance settings; tech companies, finance, healthcareCorporate offices, research firms, marketing agencies
Employer & Industry UsageTech firms, startups, consulting agenciesBusiness, marketing, finance, healthcare
Common Search & ComparisonHourly Data Scientist vs Data Analyst

Hourly Data Scientists and Data Analysts often share similar educational backgrounds and work environments. However, Data Scientists typically handle more complex modeling, machine learning, and predictive analytics, while Data Analysts focus on data visualization, reporting, and descriptive analysis. The hourly rate for Data Scientists is generally higher due to the advanced skills required. Both roles are vital in data-driven industries, but their scope and responsibilities differ significantly.

How much does a hourly data scientist make hourly?

An hourly data scientist typically earns between $30 and $70 per hour, depending on experience, location, and industry. Entry-level roles may pay closer to the lower end, while experienced professionals with specialized skills or certifications can earn toward the higher end of this range.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. Part-time positions may require strong skills in data analysis, programming, and tools like Python or R, and often involve project-based work or remote arrangements.

What are the most commonly searched types of Data Scientist jobs in Oregon?

The most popular types of Data Scientist jobs in Oregon are:

What job categories do people searching Hourly Data Scientist jobs in Oregon look for?

The top searched job categories for Hourly Data Scientist jobs in Oregon are:

Infographic showing various Hourly Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.
New Jersey Institute of Technology
Colleges, Universities, and Professional Schools • 1 - 5K employees

$40/hr

Part-time

Posted 13 days ago


Job description

Are you a current NJIT employee? Apply here through the Internal Jobs Hub.

Title: Hourly Data AnalystDepartment:Asst/Assoc ProfessorReports To:Associate ProfessorPosition Summary:

Center for Solar Terrestrial Research (CSTR) of the New Jersey Institute of Technology (NJIT) in Newark, New Jersey invites applications for an hourly data analyst who is expected to design, operate, and maintain electrical and electronic systems for solar-terrestrial research at NJIT in Newark. CSTR is a worldwide leading institution in solar and space physics, operating scientific instruments for geospace environment studies in the polar regions including the Arctic and Antarctic.

The position is anticipated to start in August 2026. The selected candidate will work primarily with Professor of NJIT, Dr. Hyomin Kim as well as the other faculty members and engineers from the other institutes.

The deadline for applications is August 10th, 2026. Candidates will need to submit a curriculum vitae, a brief statement of research or work experiences, and the names of three professional references. Questions may be directed to Hyomin Kim (hmkim@njit.edu).

Essential Functions:

  • Operation, service/maintenance, and upgrade of scientific instruments such as magnetometers, RF transmitter/receivers, imaging systems.

  • Data acquisition and transmissionover the internetor Iridium satellite link.

  • Design/construction of a 100-200-W level, battery-operated power platform with solar panels and wind turbines for reliable, autonomous data acquisition and transmission in extremely cold weatherconditions.

  • Data processing for scientific applications.

Prerequisite Qualifications:

  • Bachelor or Master's degree in electrical engineering or related field.

  • Ability to travel domestically and internationally and perform field work in remote locations.

  • Excellent verbal/written communication skill to work with researchers and engineers.

Compensation:
  • $40/hour

At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position.

Range:Hourly Employees

NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, or other items.

FLSA:Non-ExemptTime Type:Part timePay Rate:HourlyAdditional Information:

As an EEO employer NJIT is committed to building a diverse and inclusive teaching, research, and working environment and strongly encourages applications from individuals with disabilities, minorities, veterans, and women.


Employment at NJIT is subject to the provisions of New Jersey First Act which mandates new employees, who are not NJ residents, to establish primary residence in New Jersey within one year of their appointment to certain positions. The law does not apply to any individual employed at NJIT on a temporary or per semester basis as a visiting or adjunct professor, teacher, lecturer, researcher or administrator. For more information on the act please click here.


If special accommodations are needed in applying for a position, please visit the Department of Human Resources located in Fenster Hall, 5th Floor, University Heights, Newark, NJ 07102 or call (973) 596-3140. If you have questions, please email the Human Resources Department at hr@njit.edu.


Information regarding NJIT campus security, personal safety, and fire safety including topics such as, disciplinary procedures, crime prevention, NJIT Police law enforcement authority, crime reporting policies, and crime statistics for the most recent three year period is available on the NJIT Department of Public Safety here.


NJIT is an E-Verify employer and uses E-Verify to confirm work authorization of each new hire.