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Volunteer Data Scientist Machine Learning Jobs in Atlanta, GA

Senior Data Scientist (Machine Learning & MLOps) Our client is seeking a Data Scientist (Machine Learning & MLOps) to help build the next generation of its intelligent water utility platform. This is ...

Data Scientist II Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID Duration: 1 Year ... This role requires strong expertise in advanced analytics, machine learning, statistical modeling ...

Design, develop, train, and optimize machine learning and deep learning models for marketing ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics ...

Data Scientist

Duluth, GA · On-site

$110 - $150/hr

Build machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance. * Analyze large-scale time-series data from IoT devices and water ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with ...

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

The ideal candidate combines strong statistical and machine learning expertise with practical ... Voluntary Life Insurance Plan * Flexible Spending and Health Savings Account * Dependent Care ...

The ideal candidate combines strong statistical and machine learning expertise with practical ... Voluntary Life Insurance Plan * Flexible Spending and Health Savings Account * Dependent Care ...

Data Scientist Location: Johns Creek GA (Hybrid) . Job Summary We are seeking a highly analytical ... The ideal candidate will leverage statistical analysis, machine learning, and data mining ...

New

The ideal candidate combines strong statistical and machine learning expertise with practical ... Voluntary Life Insurance Plan * Flexible Spending and Health Savings Account * Dependent Care ...

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Volunteer Data Scientist Machine Learning information

See Atlanta, GA salary details

$36.1K

$118K

$189K

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

As of Sep 6, 2026, the average yearly pay for volunteer data scientist machine learning in Atlanta, GA is $118,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What does a volunteer data scientist machine learning do?

A Volunteer Data Scientist in Machine Learning applies data analysis and machine learning techniques to help organizations solve problems, often for nonprofits or community projects. They may work on tasks such as cleaning and analyzing datasets, building predictive models, or creating data visualizations. Their work supports impactful decision-making and can help organizations operate more efficiently or achieve specific social goals. Volunteers often collaborate with teams to define project objectives and deliver actionable insights using their technical expertise.

What skills and qualifications are needed to thrive as a volunteer data scientist machine learning?

To thrive as a Volunteer Data Scientist (Machine Learning), you need proficiency in statistics, data analysis, programming (Python or R), and a foundational understanding of machine learning algorithms, often supported by a relevant degree or online certifications. Familiarity with tools like scikit-learn, TensorFlow, Jupyter Notebooks, and data visualization platforms is typically required. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for translating complex data insights to non-technical stakeholders. These skills and qualities are essential to effectively contribute value, support decision-making, and drive impact in resource-limited volunteer environments.

How does a volunteer data scientist machine learning typically collaborate with other team members or departments?

As a Volunteer Data Scientist specializing in Machine Learning, you will often work closely with cross-functional teams such as project managers, software engineers, and subject matter experts. Effective collaboration is essential, as you may need to clarify project goals, source and preprocess data, or translate complex findings for non-technical stakeholders. Regular meetings and open communication help ensure that your machine learning solutions are aligned with the organization's mission and that your insights are actionable. This collaborative environment provides valuable experience working in diverse teams and often leads to impactful, real-world applications of your technical skills.

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

AspectVolunteer Data Scientist Machine LearningVolunteer Data Analyst
Required CredentialsKnowledge of machine learning algorithms, programming skills (Python, R), basic statisticsProficiency in data visualization, basic statistics, Excel, SQL
Work EnvironmentCollaborative projects, research-focused, often remote or nonprofit settingsData reporting, dashboard creation, data cleaning in nonprofit or community projects
Employer & Industry UsageTech nonprofits, research institutions, startupsCharities, educational organizations, community initiatives

Volunteer Data Scientist Machine Learning focuses on developing predictive models and advanced analytics, requiring programming and machine learning expertise. Volunteer Data Analyst emphasizes data interpretation, visualization, and reporting. Both roles support nonprofits but differ in technical complexity and focus areas.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Atlanta, GA?

The most popular types of Data Scientist Machine Learning jobs in Atlanta, GA are:

Infographic showing various Volunteer Data Scientist Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $118,032 per year, or $56.7 per hour.

Data Scientist/Machine Learning Scientist

The Intersect Group

Atlanta, GA • On-site

Other

Posted 4 days ago


Job description

Position Overview

We are seeking a Data Scientist / Machine Learning Scientist to join a centralized AI and Data Science team supporting multiple business units across the organization. This role will partner with business leaders, product teams, and technical stakeholders to identify opportunities where advanced analytics and machine learning can create strategic value.

The ideal candidate is passionate about solving complex business challenges through data driven insights and predictive modeling. You will be responsible for developing, deploying, and optimizing machine learning solutions while helping shape the organization's AI and analytics capabilities. This position offers the opportunity to work across a variety of business domains and influence high impact initiatives from concept through production.

Key Responsibilities

• Collaborate with business stakeholders, product teams, and technology partners to identify and prioritize data science opportunities

• Design, develop, deploy, and maintain machine learning models that address complex business challenges

• Perform exploratory data analysis to evaluate data quality, identify trends, and uncover actionable insights

• Build predictive, classification, clustering, and optimization models using advanced statistical and machine learning techniques

• Monitor model performance and continuously refine solutions throughout the model lifecycle

• Translate business requirements into scalable data science solutions and clearly communicate results to technical and nontechnical audiences

• Develop scalable data science workflows utilizing cloud platforms and big data technologies

• Stay current on emerging AI, machine learning, and advanced analytics technologies and recommend innovative solutions where appropriate

Key Requirements

• Bachelor's, Master's, or PhD in Computer Science, Statistics, Data Science, Mathematics, Machine Learning, Engineering, or a related quantitative field

• Proven experience developing, deploying, and maintaining machine learning models in production environments

• Strong programming expertise with Python and experience with Scala

• Advanced SQL skills and experience working with large scale structured and unstructured datasets

• Hands on experience with big data technologies including PySpark, Apache Spark, and distributed data processing environments

• Deep understanding of statistical analysis, predictive modeling, feature engineering, model validation, and machine learning methodologies

• Experience communicating technical concepts and analytical findings to both technical and business stakeholders

• Strong problem solving skills with the ability to work independently and collaboratively across cross functional teams

Preferred Qualifications

• Experience with supervised and unsupervised machine learning techniques

• Expertise with Random Forest, Gradient Boosting Machines, XGBoost, Support Vector Machines, K Means Clustering, and DBSCAN

• Experience building and deploying deep learning models

• Knowledge of cloud based data science and machine learning platforms

• Experience designing scalable analytics pipelines and automation processes

• Strong background in predictive analytics, data mining, and advanced statistical modeling

• Experience creating data visualizations and presenting insights to executive leadership

Work Arrangement

• Atlanta based candidates will work a hybrid schedule with 2 days per week onsite

• Candidates located outside the Atlanta area may work fully remote

Why Join This Opportunity

• Work on high visibility AI and machine learning initiatives with enterprise wide impact

• Collaborate with experienced data scientists, engineers, product leaders, and business stakeholders

• Build innovative solutions using modern data science and machine learning technologies

• Influence strategic decision making through advanced analytics and predictive insights

• Enjoy the flexibility of a hybrid or remote working environment

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