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Remote Data Scientist Machine Learning Jobs (NOW HIRING)

This person will design, develop, and deploy predictive models, machine learning solutions, and ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

This person will design, develop, and deploy predictive models, machine learning solutions, and ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Data Scientist

Richardson, TX ยท Remote

$116.40K - $198.20K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Data Scientist

Richardson, TX ยท Remote

$116.40K - $198.20K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

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 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 ...

Develop and refine modeling approaches in close collaboration with the Machine Learning Research ... Remote-First Team - Work from anywhere in the U.S. * Unlimited PTO & 10 Holidays - So you can relax ...

Apply statistical methods and machine learning techniques to datasets * Develop visualizations and ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

Data Scientist (AI)

Washington, DC ยท Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Solid experience in data science, machine learning, or applied analytics roles * Experience ...

Apply statistical methods and machine learning techniques to datasets * Develop visualizations and ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... Our tight-knit, self-organized team of Data Scientists and Machine Learning Engineers collaborates ...

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 ...

Physicist/Scientist Machine Learning

Santa Clara, CA ยท On-site +1

$138K - $190K/yr

... PhDlevel scientist or engineer to develop and apply machine learning-based models using data ... Data preprocessing and feature engineering for large, highdimensional datasets * Model training ...

Senior Data Scientist

OR ยท On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

Data Scientist

Hartford, CT ยท On-site +1

$90.16K - $135.24K/yr

We seek candidates with a strong foundation in statistical modeling and/or machine learning who ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

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Remote Data Scientist Machine Learning information

See salary details

$37.5K

$122.7K

$196.5K

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

As of May 31, 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 are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

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.

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 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.

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
What cities are hiring for Remote Data Scientist Machine Learning jobs? Cities with the most Remote Data Scientist Machine Learning job openings:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most Remote Data Scientist Machine Learning jobs? States with the most job openings for Remote Data Scientist Machine Learning jobs include:
Infographic showing various Remote Data Scientist Machine Learning job openings in the United States as of May 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

Apogee Global RMS

San Jose, CA โ€ข Remote

Full-time

Posted 27 days ago


Job description

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decisionโ€‘making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data.

Key Responsibilities:

  • Build and optimize machine learning models and statistical algorithms.
  • Analyze large, structured and unstructured datasets to identify trends and insights.
  • Develop dashboards, visualizations, and automated reporting tools.
  • Partner with engineering, product, and business teams to integrate dataโ€‘driven insights into strategy.
  • Validate model performance and ensure data quality, accuracy, and reliability.
  • Communicate findings clearly to technical and nonโ€‘technical stakeholders.
  • Support ongoing AI/ML initiatives across the organization.

Requirements

  • Bachelorโ€™s or Masterโ€™s in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 3+ years of experience in data science, machine learning, or advanced analytics.
  • Strong proficiency in Python, R, SQL, and ML libraries (Scikitโ€‘learn, TensorFlow, PyTorch).
  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
  • Solid understanding of statistical modeling, predictive analytics, and data engineering concepts.
  • Ability to translate complex data into clear, actionable insights.
  • Strong communication and problemโ€‘solving skills.

Preferred Experience:

  • Experience working in technology, SaaS, or dataโ€‘driven environments.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Exposure to NLP, LLMs, or generative AI.
  • Experience with MLOps tools and model deployment workflows.
  • Background working with sensitive or regulated data (nice to have).

Benefits

Why Choose Apogee:

  • Opportunity to work on highโ€‘impact, dataโ€‘driven projects.
  • Collaborative, innovative team environment.
  • Flexible remote work options.
  • Professional growth in AI/ML and advanced analytics.
  • Competitive compensation based on experience.

How to Apply:

For applications and inquiries, please email our Talent Team at : careers@apogeeglobalrms.com