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Research Assistant Machine Learning Jobs in Winter Springs, FL

Data Scientist

Orlando, FL · On-site

$107K/yr

Research & Innovation (10%) • Explore and pilot state-of-the-art analytical tools and emerging ... Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML ...

... R&D, including experimental data management, statistical analysis, machine learning concepts, AI-enabled materials design, and closed-loop learning approaches. • Proven ability to translate ...

... research with a focus on nanophotonics, quantum mechanics, and machine learning-assisted modeling and simulations. * Prepare manuscripts and conference presentations. * Assist the Principal ...

... machine learning, and data science. The successful candidate will work with Dr. Yohanna Mejia Cruz ... assistant professors, and visiting research associates. Department College of Engineering and ...

... machine learning for materials research being highly desirable. For additional information about ... assistant professors, and visiting research associates. Department College of Engineering and ...

Claims Assistant

Orlando, FL · Remote

$17.50 - $22.25/hr

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case managers. We are seeking a Claims Assistant to play a key role in ensuring smooth case management and ...

Claims Assistant

Orlando, FL · On-site +1

$17.50 - $22.25/hr

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case managers. We are seeking a Claims Assistant to play a key role in ensuring smooth case management and ...

Claims Assistant

Orlando, FL · Remote

$19.25 - $24.25/hr

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case managers. We are seeking a Claims Assistant to play a key role in ensuring smooth case management and ...

Stacker

Sanford, FL · On-site

$13.50 - $15.75/hr

... learning and growth. The location in Sanford, (Florida, United States), is seeking talent to fill ... Machine Assistance: Assist machine operators by clearing jams or feeding materials into machines.

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Research Assistant Machine Learning information

See Winter Springs, FL salary details

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How much do research assistant machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for research assistant machine learning in Winter Springs, FL is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.78 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What cities near Winter Springs, FL are hiring for Research Assistant Machine Learning jobs?

Cities near Winter Springs, FL with the most Research Assistant Machine Learning job openings:

Infographic showing various Research Assistant Machine Learning job openings in Winter Springs, FL as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,983 per year, or $18.7 per hour.

Senior Data Scientist Contractor (1099)

Wired People Inc

Orlando, FL • On-site

$165 - $262/hr

Other

Re-posted 15 hours ago


Key responsibilities

  • Define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.

  • Develop, validate, and productionize machine learning models using techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.

  • Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.


Job description

WiredPeople is looking for a senior-level Data Scientist who can operate independently to drive advanced statistical modeling, complex analytics, and research initiatives. The ideal candidate brings a unique blend of deep technical expertise, strategic consulting experience, and a proven track record of working directly with external clients, particularly government stakeholders.

In this role, you will provide analytical leadership, define technical approaches, and translate highly complex data into actionable insights for non-technical audiences. Experience working with healthcare, public health, research, or government-related data projects is highly desirable.

We are currently seeking a highly skilled Senior Data Scientist Contractor (1099) to join our network and support complex analytics and research projects for our clients.

Key Responsibilities

  • Analytical Leadership: Independently define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.
  • Advanced Statistical Modeling: Develop, validate, and productionize machine learning models, utilizing techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.
  • Client Consulting: Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.
  • Data Translation: Effectively present complex technical findings, methodologies, and actionable insights to non-technical stakeholders and decision-makers.
  • Data Management & Pipeline Development: Oversee ETL/ELT pipeline development, ensuring robust data governance, access controls, and secure handling of sensitive health and regulated datasets.
  • Technical Execution: Utilize an advanced technology stack, including Azure Databricks, R, and SQL, to build and deploy scalable data science solutions.

Must-Have Qualifications

  • Cloud & Architecture: Intermediate to Advanced experience in Microsoft Azure, specifically Azure Databricks.
  • Programming: Advanced proficiency in R and strong SQL and database management experience.
  • Machine Learning: Proven experience with ML techniques, including predictive modeling and Random Forest.
  • Data Security & Ethics: Experience handling sensitive health, research, or highly regulated datasets. Must hold a current CITI Certification (or have the ability to quickly obtain one).
  • Development Tools: Advanced R Shiny experience and familiarity with GitHub and CI/CD pipelines (highly preferred).

Preferred Senior-Level Experience

  • Education: PhD or extensive applied Data Science experience in a related field.
  • Advanced Modeling: Deep expertise in Bayesian hierarchical modeling, spatial/geospatial modeling, model validation, and advanced statistical analysis.
  • Industry Experience: Prior consulting experience with external clients, particularly supporting government or public-sector clients.

Technical Environment Candidates with hands-on experience in the following technical areas will stand out:

  • Cloud Platform: Azure Databricks
  • Data Warehousing: Snowflake, PostgreSQL, or similar data warehouse environments
  • Data Engineering: ETL/ELT pipeline development
  • Databases: Relational and NoSQL databases
  • Data Management: Data governance and strict access controls
  • MLOps: Productionizing and deploying machine learning models

Additional Information

  • Job Type: Contract (1099)
  • Industry Focus: Healthcare, Public Health, Government Services

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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