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Remote Data Scientist Machine Learning Jobs (NOW HIRING)

Motion Recruitment

Senior Data Scientist

Boston, MA · Remote

Join a cutting-edge AI Platform team as a Senior Data Scientist in a 6-month remote contract-to ... Master's degree preferred · 5-8+ years of experience in Data Science, Machine Learning, or Applied ...

Talon Hiring Solutions

Data Scientist (Remote)

Atlanta, GA · Remote

$200K - $225K/yr

Use Python and SQL to perform feature engineering, statistical analysis, and machine learning ... Continuously improve data science, feature engineering, and predictive modeling capabilities. What ...

New

Extend

Senior Machine Learning Data Scientist

$135K - $165K/yr

As a Senior ML Data Scientist, you will own the development of cutting-edge machine learning models based on signals and transactions from hundreds of millions of users to detect and prevent fraud ...

Extend

Senior Machine Learning Data Scientist

$135K - $165K/yr

As a Senior ML Data Scientist, you will own the development of cutting-edge machine learning models based on signals and transactions from hundreds of millions of users to detect and prevent fraud ...

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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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Remote Data Scientist Machine Learning jobs near you
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.

Senior Data Scientist

Boston, MA • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

Contractor

Re-posted 11 days ago

Job description

Job Description

Join a cutting-edge AI Platform team as a Senior Data Scientist in a 6-month remote contract-to-hire opportunity. You'll help develop enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to support complex research, document intelligence, and workflow automation systems.

This role offers the opportunity to work on some of the most advanced AI challenges in industry today. The team is building next-generation intelligent systems that combine LLMs, retrieval technologies, and autonomous agents to solve highly complex information and decision-making problems. They're looking for someone who can drive innovation, shape AI strategy, and help bring cutting-edge research into production.

Contract Duration: 6 Months (Contract-to-Hire)

Required Skills & Experience

· Bachelor's degree required; Master's degree preferred
· 5-8+ years of experience in Data Science, Machine Learning, or Applied AI
· Strong experience with Large Language Models (LLMs) and Generative AI applications
· Hands-on experience designing and deploying RAG systems
· Expertise in machine learning, NLP, and information retrieval techniques
· Experience building and deploying production AI/ML systems
· Strong Python programming skills
· Experience working with distributed systems and cloud-based AI environments
· Understanding of agentic AI architectures and autonomous workflows
· Strong analytical, communication, and problem-solving skills

Desired Skills & Experience

· Experience building enterprise-scale AI platforms
· Familiarity with vector databases and semantic search technologies
· Knowledge of legal, regulatory, or document-intensive data environments
· Experience with model evaluation, monitoring, and optimization
· Exposure to workflow automation and intelligent agent frameworks
· Experience collaborating across data science, engineering, and product teams
· Advanced degree in Data Science, Computer Science, Machine Learning, or a related field

What You Will Be Doing

Tech Breakdown
· 40% LLMs, RAG, and Generative AI
· 30% Machine Learning & NLP
· 20% Agentic AI & Intelligent Automation
· 10% Distributed Systems & Platform Collaboration

Daily Responsibilities
· 75% Hands On
· 5% Management Duties
· 20% Team Collaboration

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