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Volunteer Data Scientist Machine Learning Jobs in Dallas, TX

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. * Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

Cotality

Senior Machine Learning Scientist

Dallas, TX · On-site

Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ... Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. * Family ...

Photon

AI/ML Data Scientist | Onsite

Dallas, TX

Translate business problems into well-defined machine learning and predictive modeling objectives. * Collect, clean, transform, and analyze structured and unstructured data from multiple sources.

Photon

AI/ML Data Scientist | Onsite

Dallas, TX · On-site

Translate business problems into well-defined machine learning and predictive modeling objectives. * Collect, clean, transform, and analyze structured and unstructured data from multiple sources.

Ruri Software Technologies LLC

Data Scientist

Plano, TX · On-site

Data Scientist Location : Plano, TX, 5900 West Plano Parkway, 75093 About the Role We're looking ... Apply AI and machine learning to improve operations and decision-making * Partner with business and ...

Lennox International

Data Scientist II

Richardson, TX · On-site

$88K - $115K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... volunteer day, 12 paid holidays, and 3 floating holidays per year. Our Culture : At Lennox, our ...

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · On-site

Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning ...

Sarian, Inc.

Data Scientist

Addison, TX · On-site

JD: * 7+ yrs of experience as data scientist or related roles. * Deep understanding and some ... Artificial intelligence/Machine learning.

KPMG US

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

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All JobsVolunteer Data Scientist Machine Learning JobsVolunteer Data Scientist Machine Learning Jobs in Dallas, TX

Volunteer Data Scientist Machine Learning information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

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

As of Sep 3, 2026, the average yearly pay for volunteer data scientist machine learning in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 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 Dallas, TX?

The most popular types of Data Scientist Machine Learning jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Volunteer Data Scientist Machine Learning jobs?

Cities near Dallas, TX with the most Volunteer Data Scientist Machine Learning job openings:

Volunteer Data Scientist Machine Learning jobs near you
Infographic showing various Volunteer Data Scientist Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,417 per year, or $58.4 per hour.

Data Scientist Architect

Mars Technominds Inc

Garland, TX • On-site

Other

Posted 7 days ago

Job description

Job Title: Data Scientist Architect

Location: Garland, TX / McKinney, TX

Duration: 12+ Months

Type: Long-Term Contract

Position Overview:

We are seeking an experienced Data Scientist Architect to design and lead advanced data science, machine learning, and AI solutions across enterprise environments. The ideal candidate will have a strong combination of data science, machine learning, data architecture, cloud platforms, and AI/ML engineering experience.

The Data Scientist Architect will work closely with business stakeholders, data engineers, software engineers, and technology leadership to define data and AI strategies, develop scalable analytical solutions, and drive machine learning initiatives from concept through production.

Key Responsibilities:

  • Design and architect scalable data science, machine learning, and AI solutions aligned with business objectives.
  • Lead the development and implementation of advanced machine learning and predictive analytics solutions.
  • Translate complex business problems into data-driven analytical and machine learning solutions.
  • Design end-to-end data science architectures covering data ingestion, processing, feature engineering, model development, deployment, and monitoring.
  • Collaborate with Data Engineers, ML Engineers, Software Engineers, and business stakeholders to deliver production-ready solutions.
  • Develop and optimize machine learning models using structured and unstructured data.
  • Establish best practices for model development, validation, deployment, monitoring, and lifecycle management.
  • Design and implement MLOps processes and frameworks for automated model deployment and monitoring.
  • Work with large-scale datasets and develop solutions for data preparation, transformation, feature engineering, and statistical analysis.
  • Evaluate and implement appropriate machine learning algorithms and AI technologies based on business requirements.
  • Develop solutions using Python and modern data science/ML frameworks.
  • Design and integrate data science solutions with enterprise data platforms, APIs, and applications.
  • Collaborate with cloud teams to develop scalable AI/ML solutions using AWS, Azure, and/or Google Cloud.
  • Establish data quality, governance, security, and model risk management practices.
  • Perform exploratory data analysis and communicate insights and recommendations to technical and business stakeholders.
  • Provide technical leadership, architectural guidance, and mentorship to data science and engineering teams.
  • Stay current with emerging technologies in AI, Generative AI, Machine Learning, Deep Learning, and Data Engineering.

Required Technical Skills:

  • Strong experience in Data Science and Data Science Architecture.
  • Advanced Python programming skill
  • Strong knowledge of Machine Learning, Statistical Modeling, Predictive Analytics, and Data Mining.
  • Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.
  • Strong understanding of data architecture, data pipelines, ETL/ELT, and data processing.
  • Experience with SQL and relational/non-relational databases.
  • Hands-on experience with cloud-based data and AI platforms.
  • Strong understanding of MLOps, model deployment, model monitoring, and ML lifecycle management.
  • Experience with distributed data processing technologies such as Spark/PySpark.
  • Experience with data visualization and analytical tools such as Power BI, Tableau, or similar.
  • Strong understanding of APIs, microservices, data integration, and enterprise architecture.

Preferred Skills:

  • Experience with Generative AI, Large Language Models (LLMs), NLP, or Deep Learning.
  • Experience with Azure Machine Learning, AWS SageMaker, Google Vertex AI, or equivalent platforms.
  • Experience with Databricks and modern cloud data platforms.
  • Knowledge of Vector Databases, RAG, embeddings, and AI application architecture.
  • Experience implementing CI/CD pipelines for machine learning solutions.
  • Knowledge of data governance, security, privacy, and compliance requirements.
  • Experience working with large-scale enterprise data environments.
  • Strong communication, presentation, problem-solving, and stakeholder-management skills.

Education & Experience:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • 8+ years of experience in Data Science, Machine Learning, Data Engineering, or related technology roles.
  • Demonstrated experience designing and delivering enterprise-scale data science and AI/ML solutions.
  • Proven ability to provide technical leadership and work across business and technology teams.

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