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Full Time Data Analyst Machine Learning Jobs (NOW HIRING)

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Working at the intersection of computer science, marine science, and data analytics, this position ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

... full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models ...

Connexzia

Data Analyst

Scottsdale, AZ

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be ... Experience with machine learning, predictive analytics, or AI-driven analytics. * Familiarity with ...

The Garrett Group

Data Analyst - JETARS

NE · On-site

Position OverviewThe GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives in a dynamic Department of Defense ...

PROPRIUS

Machine Learning / Data Scientist

Bodega Bay, CA · On-site

$110K - $140K/yr

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry ... You must have strong experience using a variety of data mining/data analysis methods, using a ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

Minimum of 3 years related industry experience in machine learning, data science, and analytics ... Regular Full-time Background Check Type: 7 Year Pre-Employment Drug Screen Required: None Position ...

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

As of Aug 19, 2026, the average yearly pay for full time 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 Full Time Data Analyst Machine Learning vs Full Time Data Analyst?

AspectFull Time Data Analyst Machine LearningFull Time Data Analyst
Required SkillsData analysis, machine learning, programming (Python, R), statistical modelingData analysis, Excel, SQL, basic statistics
Work EnvironmentTech companies, finance, healthcare, research institutionsBusiness, marketing, finance, retail
CertificationsData Science, Machine Learning certifications, SQL, PythonExcel, SQL, Business Analytics certifications

Full Time Data Analyst Machine Learning roles focus on applying machine learning techniques and programming skills to analyze complex data sets, often requiring advanced statistical knowledge. Full Time Data Analysts typically handle data collection, cleaning, and basic analysis to support business decisions. While both roles involve data analysis, the machine learning position emphasizes predictive modeling and algorithm development, making it suitable for tech-driven industries.

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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 job categories do people searching Full Time Data Analyst Machine Learning jobs look for?

The top searched job categories for Full Time Data Analyst Machine Learning jobs are:

Full Time Data Analyst Machine Learning jobs near you
Infographic showing various Full Time Data Analyst Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Machine Learning Engineer

Orchard LLC

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD
About @Orchard:
@Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical science, data, technology, program management, and workforce solutions. Since 2010, we have built high-performing teams and disciplined delivery systems that help federal agencies launch complex programs, sustain performance, and achieve meaningful mission outcomes.
Position Summary:
@Orchard LLC is seeking an Machine Learning Engineer to support the National Oceanic and Atmospheric Administration (NOAA), Office of Ocean Exploration.
The Machine Learning Engineer will develop and apply machine learning capabilities to help NOAA Ocean Exploration analyze the large volumes of scientific data and video generated during ocean exploration expeditions. Working at the intersection of computer science, marine science, and data analytics, this position will develop software, algorithms, and analytical workflows that help identify scientifically significant characteristics, fauna, shapes, movement, and other features within complex scientific datasets and video streams.
The successful candidate will collaborate with marine scientists, engineers, data specialists, and other technical professionals to improve the efficiency and consistency of scientific data analysis. The role will help reduce manual review time, support annotation and characterization of observations, and create repeatable tools that enable scientists to extract meaningful information from increasingly large ocean exploration datasets.
This position is contingent upon contract award.
Mission Impact:
This position applies emerging AI and machine learning technologies to one of the world's most challenging data environments-ocean exploration. Your work will help NOAA scientists analyze massive volumes of expedition data and video more efficiently, accelerating the identification and characterization of marine life and other scientifically significant observations.
Key Responsibilities:
AI & Machine Learning Development
  • Develop machine learning capabilities for evaluating large volumes of ocean exploration data and streaming video.
  • Design, develop, test, and refine algorithms and software that identify specific characteristics, shapes, movement, fauna, and other features within scientific data and video.
  • Develop computer-language subroutines, scripts, and programs that support automated or semi-automated data analysis, annotation, and characterization.
  • Apply appropriate machine learning and computer vision techniques to improve the efficiency and consistency of scientific data review.
  • Evaluate model performance and refine approaches based on scientific objectives and observed results.

Scientific Data & Video Analysis
  • Work with large scientific datasets and high-volume expedition video to identify patterns and features relevant to ocean exploration.
  • Collaborate with marine scientists to translate scientific questions and observation requirements into computational approaches.
  • Support development of tools that enable scientists to efficiently locate, annotate, classify, and characterize observations.
  • Assist in developing repeatable analytical workflows that can be applied to future expeditions and datasets.
  • Support integration of AI/ML outputs into broader scientific data analysis, annotation, and ocean exploration workflows.

Software Development & Documentation
  • Develop maintainable and reusable code supporting machine learning and data-analysis capabilities.
  • Document software development, algorithms, workflows, model changes, and system updates to support future corrections and enhancements.
  • Test and troubleshoot applications and analytical workflows to ensure reliable performance.
  • Recommend improvements to software, analytical methods, and machine learning workflows.
  • Support software corrections and updates as required.

Scientific Collaboration
  • Collaborate with marine scientists, GIS specialists, web developers, engineers, and other technical professionals.
  • Participate in technical discussions, scientific meetings, and project planning activities.
  • Translate technical machine learning concepts into understandable information for scientific and program stakeholders.
  • Support technical reports, presentations, demonstrations, and other program deliverables.

Operational Support
  • Support response to urgent software or analytical issues affecting supported capabilities, including occasional work outside normal business hours when required
  • Support troubleshooting and resolution of issues affecting machine learning applications and associated web or data capabilities.

Requirements
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Marine Science, Oceanography, or related discipline. Master's degree preferred.
  • Experience developing or applying machine learning solutions for data analysis, computer vision, video analysis, or related applications.
  • Programming experience in Python or another modern programming language.
  • Experience working with large datasets and developing repeatable data-analysis workflows.
  • Understanding of machine learning concepts, model development, evaluation, and optimization.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate effectively with scientists and technical professionals from different disciplines.
  • Excellent written and verbal communication skills.
  • Proficiency with Microsoft Office 365, Google Workspace, and Adobe Acrobat.
  • Occasional domestic travel may be required to support scientific meetings, workshops, planning sessions, training activities, or other program requirements consistent with contract needs.

Preferred Skills and Experience:
  • Experience applying AI or machine learning to scientific, environmental, marine, or oceanographic datasets is preferred.
  • Experience with computer vision, image recognition, object detection, video analytics, or image classification.
  • Experience working with high-volume video or streaming data.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with scientific Python libraries and data-analysis tools.
  • Experience supporting NOAA, other federal agencies, academic research organizations, or marine science programs.
  • Familiarity with marine organisms, oceanographic data, or scientific expedition environments.

Technical Skills:
  • Python
  • Data Analysis
  • Large-Scale Data Processing
  • Algorithm Development
  • Software Testing & Troubleshooting
  • Scientific Data Workflows

Compensation: The anticipated salary range for this position depends on the candidate's qualifications, relevant scientific experience, education, and overall experience supporting similar federal programs.
What We Offer:
Competitive base salary with opportunities for advancement, career growth and professional development, work-life balance, comprehensive benefits including health, dental, vision, life insurance, 401(k), generous PTO, and paid federal holidays.
If you are passionate about artificial intelligence, machine learning, and applying innovative technology to ocean exploration, we encourage you to join our team and help transform massive volumes of scientific data into discoveries that advance our understanding of the world's oceans.
@Orchard is an equal opportunity employer. We encourage all qualified candidates to apply, regardless of race, gender, age, disability, or other protected characteristics.
To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com .

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