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Part Time Remote Data Science Jobs in Portland, OR

Clera

B2C Marketing (part-time) Intern

Portland, OR · Remote

$15.25 - $20.50/hr

Use data to identify what's working and double down on winning channels What we offer * Flexible remote work from anywhere in the US * Direct mentorship from the founding team * Real ownership and ...

Two Chairs

Part-Time Online Therapist

Vancouver, WA · Remote

$76/hr

Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT ... Use data to drive effective treatment and adjust your approach based on client progress

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All JobsData Science JobsPart Time Remote Data Science JobsPart Time Remote Data Science Jobs in Portland, OR

Part Time Remote Data Science information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do part time remote data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for part time remote data science in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

How do part-time remote data scientists typically collaborate with full-time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

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

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.
What are the most commonly searched types of Remote Data Science jobs in Portland, OR? The most popular types of Remote Data Science jobs in Portland, OR are:
What are popular job titles related to Part Time Remote Data Science jobs in Portland, OR? For Part Time Remote Data Science jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Portland, OR look for? The top searched job categories for Part Time Remote Data Science jobs in Portland, OR are:
Part Time Remote Data Science jobs near you

Data Engineer (Part time) - BigQuery / GA4

LHH US

Portland, OR • Remote

$50 - $70/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Location: Portland, OR (Remote)
Duration: ~3 weeks (Approx. 45-55 hours total)
Pay Rate: $50-$70/hour on W2
About the Role
We're seeking a Data Engineer with strong marketing analytics experience to support a short-term engagement focused on building and validating a BigQuery-based data foundation.
This role will work across multiple client accounts to ensure analytics data is properly structured, integrated, and ready for reporting, with a focus on GA4, paid media, and CRM data sources.
Key Responsibilities
  • Set up and configure BigQuery / GCP environments , including datasets, permissions, and naming conventions
  • Enable and validate GA4 → BigQuery data exports
  • Ensure key events and conversions are accurately captured and flowing
  • Connect and validate priority data sources (GA4, paid media platforms, CRM, email tools)
  • Create reporting-ready tables or views for analytics and performance tracking
  • Perform data QA and validation across sources (GA4, ad platforms, CRM)
  • Identify data gaps, inconsistencies, and potential risks
  • Ensure existing dashboards and reports remain functional
  • Document data architecture, sources, and workflows
  • Provide clear handoff documentation and recommendations for future improvements
Required Qualifications
  • Hands-on experience with Google BigQuery and Google Cloud Platform (GCP)
  • Strong understanding of GA4 (Google Analytics 4) and data exports
  • Experience working with Google Tag Manager (GTM)
  • Proficiency in SQL for data transformation and reporting
  • Experience integrating marketing data sources (paid media, CRM, email platforms)
  • Strong data validation and QA skills
  • Ability to work independently in a fast-paced, short-term engagement
Preferred Qualifications
  • Experience in marketing analytics or agency environments
  • Familiarity with tools like Salesforce, Google Ads, Mailchimp , or similar platforms
  • Experience creating lightweight reporting layers or data models
  • Strong documentation and stakeholder communication skills
What Success Looks Like
  • BigQuery environments are fully set up and structured
  • GA4 data is correctly flowing into BigQuery
  • Key data sources are connected and validated
  • Reporting tables/views are available and usable
  • Data accuracy is confirmed across platforms
  • Documentation and handoff materials are complete
Benefit Offering
Benefit Offerings:
Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements.
Pay Details: $50.00 to $70.00 per hour
Search managed by: Sharanya Ram
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.