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Part Time Remote Data Science Jobs in Oregon (NOW HIRING)

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ... Bachelor's degree in data science, statistics, computer science, healthcare informatics ...

Ascension

Senior Oncology Data Specialist

$28.35 - $39.52/hr

Remote Department: Clinical Quality Registry Services Schedule: Part time, 20 hours Salary: $28.35 ... Perform primary data abstraction duties for oncology measures and registries while ensuring high ...

Ascension

Senior Oncology Data Specialist

$28.35 - $39.52/hr

Remote Department: Clinical Quality Registry Services Schedule: Part time, 20 hours Salary: $28.35 ... Perform primary data abstraction duties for oncology measures and registries while ensuring high ...

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All JobsPart Time Remote Data Science JobsPart Time Remote Data Science Jobs in Oregon

Part Time Remote Data Science information

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 Oregon? The most popular types of Remote Data Science jobs in Oregon are:
What are popular job titles related to Part Time Remote Data Science jobs in Oregon? For Part Time Remote Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Oregon look for? The top searched job categories for Part Time Remote Data Science jobs in Oregon are:
What cities in Oregon are hiring for Part Time Remote Data Science jobs? Cities in Oregon with the most Part Time Remote Data Science job openings:
Part Time Remote Data Science jobs near you
Data Analyst, Sr - AI Research Systems Support

Data Analyst, Sr - AI Research Systems Support

Aptive

Remote

$85K - $108K/yr

Part-time

Posted 22 days ago

Aptive Environmental rating

5.4

Company rating: 5.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

28th of 32 rated pest control companies

Job description

Job Summary

Aptive Resources is seeking a Senior Data Analyst to support artificial intelligence (AI), analytics, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research, policy, and operational decision-making.

The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise modernization efforts. The position will work closely with technical teams, project managers, operational leadership, and stakeholders to support data integration, reporting automation, AI pilot initiatives, and analytics-driven operational improvements.

The ideal candidate will have experience supporting analytics, reporting, statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments.

This is a full-time (40 hours/week), 100% remote position. 

It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs.

Primary Responsibilities
  • Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives.
  • Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making.
  • Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources.
  • Support development and optimization of ETL workflows, reporting processes, and analytics activities.
  • Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities.
  • Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis.
  • Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness.
  • Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments.
  • Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities.
  • Support data quality management, validation, and continuous improvement activities.
  • Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences.
Minimum Qualifications
  • Bachelor's degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field.
  • 8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization.
  • Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments.
  • Experience developing dashboards, reports, data visualizations, or business intelligence solutions.
  • Experience supporting cloud-based analytics, data warehouse, or data lake environments.
  • Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows.
  • Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights.
  • Experience supporting data quality management and validation activities.
  • Ability to communicate technical findings clearly to executive and non-technical stakeholders.
  • Proficiency with Microsoft Office Suite, including Excel and PowerPoint.
  • Ability to work independently in a remote environment while managing multiple priorities.
  • Ability to obtain and maintain a public trust clearance.
  • Legal authorization to work in the United States.
Desired Qualifications
  • Experience supporting VA, VHA, federal healthcare, research, or enterprise analytics environments.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.
  • Experience supporting AI-enabled analytics, retrieval workflows, or data-driven reporting solutions.
  • Familiarity with REDCap, healthcare data systems, or research data environments.
  • Experience supporting operational analytics, portfolio analysis, or reporting modernization initiatives.
  • Familiarity with cloud platforms such as Azure or AWS.
  • Experience working in fast-paced, matrixed environments supporting multiple concurrent priorities.
  • High degree of professionalism, discretion, and mature judgment in handling sensitive information.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.

We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.

Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: PART_TIME

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