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Volunteer Data Analyst Machine Learning Jobs (NOW HIRING)

Machine Learning Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Experience in data analysis, data engineering, and machine learning data operations.Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.

Machine Learning Engineer

Seattle, WA · On-site

$125K - $180K/yr

Analyze unstructured data such as articles and conversations to identify unique signals of private ... Generous allotment of vacation days, sick days, and volunteer days Social Health * Matching gifts ...

Analyze and extract key insights from rich stores of customer data * Research and implement ML ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate ...

The role requires the application of advanced analytical techniques, including machine learning ... The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop ...

The role requires the application of advanced analytical techniques, including machine learning ... The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

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Volunteer Data Analyst Machine Learning information

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$34K

$82.6K

$136K

How much do volunteer data analyst machine learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for volunteer data analyst machine learning in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Volunteer Data Analyst Machine Learning vs Volunteer Data Analyst?

AspectVolunteer Data Analyst Machine LearningVolunteer Data Analyst
Required skillsData analysis, machine learning, programming (Python/R), statistical knowledgeData analysis, Excel, basic statistics, data visualization
Work environmentTech-focused, project-based, collaborative teamsNon-profit, research, community projects
Common employersTech companies, research institutions, startupsNon-profits, NGOs, community organizations

Volunteer Data Analyst Machine Learning roles typically require programming and machine learning expertise, working on advanced data projects. Volunteer Data Analysts focus on data cleaning, visualization, and basic analysis. Both roles support organizations but differ in technical complexity and scope.

What cities are hiring for Volunteer Data Analyst Machine Learning jobs? Cities with the most Volunteer Data Analyst Machine Learning job openings:
What are the most commonly searched types of Data Analyst Machine Learning jobs? The most popular types of Data Analyst Machine Learning jobs are:
What states have the most Volunteer Data Analyst Machine Learning jobs? States with the most job openings for Volunteer Data Analyst Machine Learning jobs include:
Data Analyst

Other

Posted 10 days ago


Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.