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Remote Data Scientist Machine Learning Jobs (NOW HIRING)

Data Scientist Role Type: Contractor Location: Remote About the Role We are looking for experienced ... You'll apply expertise in machine learning, statistics, experimentation, and data analysis to ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... If you would like more information about how your data is processed, please contact us.

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... If you would like more information about how your data is processed, please contact us. apply for ...

What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ... related quantitative role. * Experience in logistics, marketplaces, supply chain, operations ...

Join a cutting-edge AI Platform team as a Lead Data Scientist in a 6-month remote contract-to-hire ... Master's degree preferred ยท 8+ years of experience in Data Science, Machine Learning, Applied AI ...

The Senior Data Scientist provides advanced analytics, machine learning, and investigative data support. Working closely with criminal investigators, auditors, and technical stakeholders, this ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

Data Scientist

Herndon, VA ยท On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

General information Job Posting Title Senior Data Scientist (Remote) Date Friday, July 17, 2026 ... machine learning techniques for enhanced performance - Act as a subject matter expert (SME) in data ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

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Remote Data Scientist Machine Learning information

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$37.5K

$122.7K

$196.5K

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

As of Sep 13, 2026, the average yearly pay for remote data scientist machine learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

More about Remote Data Scientist Machine Learning jobs

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Infographic showing various Remote Data Scientist Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist Expert - Remote

New York, NY โ€ข Remote

Full-time

Posted 11 days ago


Job description

Data Scientist

Role Type: Contractor
Location: Remote

About the Role

We are looking for experienced data scientists and quantitative professionals to support AI training and evaluation projects. You'll apply expertise in machine learning, statistics, experimentation, and data analysis to evaluate and improve AI model performance.

Key Responsibilities
  • Evaluate AI outputs across data science, statistics, ML, and quantitative problems.
  • Create expert-level prompts, datasets, and reference solutions.
  • Identify statistical errors, flawed methodologies, and weak reasoning.
  • Provide structured feedback to improve AI model capabilities.
Required Skills
  • Python & Pandas
  • Machine Learning
  • Statistics
  • Data Analysis
  • Experimentation
  • Data Modeling
Preferred Qualifications
  • 1+ year of experience in technology, finance, research, or a similar environment.
  • Relevant experience within the past 7 years.
  • Undergraduate degree from a top-ranked university.
  • Strong written communication and ability to explain technical concepts clearly.
  • Based in an English-speaking country.