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Part Time Data Science Jobs in Oregon (NOW HIRING)

NuAxis Innovations

$63.75 - $82/hr

This role requires deep expertise in modern data architecture, cloud platforms, and database ... Bachelor's degree in Computer Science, IT, or related field * 5-10+ years of experience in database ...

Oregon Health & Science University

$14 - $15.75/hr

Enrolled in a field related to Data Analyst, Bio Statistics, Computer Science, or related fields ... PART_TIME

Montrose Environmental Group

OR

$27 - $35/hr

Our scientists, engineers, field teams,consultantsand professionals collaborate across disciplines ... Job Type: Part-Time/Temporary ( This position is considered temporary and as such there are no ...

Montrose Environmental Group

OR · On-site

$27 - $35/hr

Our scientists, engineers, field teams,consultantsand professionals collaborate across disciplines ... Job Type: Part-Time/Temporary ( This position is considered temporary and as such there are no ...

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$9

$46

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How much do part time data science jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time data science in Oregon is $46.81, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $69.53 per hour, depending on experience, location, and employer.

What Are Part Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Part Time Data Science jobs in Oregon? For Part Time Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Oregon look for? The top searched job categories for Part Time Data Science jobs in Oregon are:
What cities in Oregon are hiring for Part Time Data Science jobs? Cities in Oregon with the most Part Time Data Science job openings:
Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Oregon as of May 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $97,360 per year, or $46.8 per hour.
Database Architect

Database Architect

NuAxis Innovations

$63.75 - $82/hr

Part-time

Posted 7 days ago

Job description

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution.

Technology is our Passion. People are our Purpose.

We know tech, but we love people. NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind.

We believe happy employees do amazing work, so join our team NOW!We are currently seeking a talented and motivated Database Architect for a Full-Timeposition..

Job Summary:

The Database Architect will lead the design, implementation, and governance of enterprise database solutions, ensuring high performance, scalability, security, and compliance with federal standards.
This role requires deep expertise in modern data architecture, cloud platforms, and database optimization, along with experience supporting federal IT environments.

Key Responsibilities:

  • Design and implement enterprise-level database architectures (relational and NoSQL)

  • Develop data models, schemas, and standards for scalable systems

  • Lead database strategy for cloud migration and modernization initiatives

  • Define data lifecycle management policies

  • Database Management & Optimization

  • Optimize database performance (query tuning, indexing, partitioning)

  • Ensure high availability, disaster recovery, and failover strategies

  • Implement automation for monitoring and performance tracking

  • Conduct capacity planning and forecasting

  • Cloud & Modern Data Platforms

  • Architect solutions on platforms such as:

  • Amazon Web Services (RDS, Aurora, DynamoDB)

  • Microsoft Azure (Azure SQL, Cosmos DB)

  • Oracle Cloud / Exadata

  • Support hybrid and multi-cloud data architectures

  • Security & Compliance

  • Ensure compliance with:

  • National Institute of Standards and Technology (NIST RMF)

  • Federal Risk and Authorization Management Program

  • Implement data encryption, masking, and access controls

  • Support ATO and continuous monitoring requirements

  • Collaboration & Leadership

  • Work closely with application architects, DevSecOps teams, and business stakeholders

  • Provide technical leadership and mentorship to database engineers

  • Support proposal efforts and solution architecture design.

Qualifications:

  • Bachelor's degree in Computer Science, IT, or related field
  • 5-10+ years of experience in database architecture or engineering
    Strong expertise in:
  • SQL Server, Oracle, PostgreSQL, MySQL
  • NoSQL (MongoDB, DynamoDB, Cassandra)
  • Experience with cloud-native database solutions (AWS/Azure)
  • Deep understanding of:
  • Data modeling (OLTP / OLAP)
  • Performance tuning and optimization
  • Backup, recovery, and replication strategies

Preferred Skills:

  • Master's degree in a related field
    Certifications:
  • AWS Certified Database Specialty
  • Azure Database Administrator Associate
  • Oracle Certified Professional (OCP)
    Experience with:
  • Big Data platforms (Hadoop, Spark)
  • Data warehousing solutions (Snowflake, Redshift)

  • ETL/ELT tools (Informatica, Talend, Azure Data Factory

Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now!!

Our Profile:

We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed.Time after time, programs failed because the focus was on the tools and products and not the people using them.Learn More

NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation.Learn Moreabout our Benefits and Culture!

#NAI #DICE

Employment Type: Part time

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