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Machine Learning Research Analyst Jobs in Springfield, MA

Learning & Development: Programs to assess, train, and increase productivity, and develop future ... We are seeking an Associate Research Analyst to join our Annuity Research team. This is a great ...

Learning & Development: Programs to assess, train, and increase productivity, and develop future ... We are seeking an Associate Research Analyst to join our Annuity Research team. This is a great ...

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Modeling Understanding how to frame business problems as data science problems Navigating the full data science lifecycle: research and exploration, development, deployment, support Using correct ...

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Machine Learning Research Analyst information

See Springfield, MA salary details

$38.4K

$73.7K

$99.2K

How much do machine learning research analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning research analyst in Springfield, MA is $73,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $98,200.00 per year, depending on experience, location, and employer.

What does a machine learning research analyst do?

A Machine Learning Research Analyst studies and develops algorithms that enable computers to learn from data. They analyze large datasets, experiment with different machine learning models, and evaluate their performance to solve complex problems. Their work often involves staying updated with the latest research in artificial intelligence and applying these advancements to real-world applications. The role typically requires strong programming, statistical, and problem-solving skills.

How does a machine learning research analyst typically collaborate with data scientists and engineers during a project?

As a Machine Learning Research Analyst, you’ll often work closely with data scientists to interpret complex data sets, develop hypotheses, and validate models. Collaboration with engineers is essential to ensure that research findings are correctly implemented into production systems. Regular meetings, code reviews, and joint problem-solving sessions are common, allowing you to provide analytical insights while engineers focus on system scalability and deployment. This teamwork helps bridge the gap between theoretical research and practical application, leading to impactful solutions.

What are the key skills and qualifications needed to thrive as a machine learning research analyst, and why are they important?

To thrive as a Machine Learning Research Analyst, you need a solid background in mathematics, statistics, and computer science, often demonstrated by a relevant degree or research experience. Proficiency with programming languages like Python or R, familiarity with machine learning libraries (such as TensorFlow or PyTorch), and experience with data analysis tools are typically required. Strong analytical thinking, creativity, and effective communication skills help distinguish top performers in this role. These capabilities enable analysts to develop innovative models, interpret complex data, and clearly present actionable insights to stakeholders.

What is the difference between Machine Learning Research Analyst vs Data Scientist?

AspectMachine Learning Research AnalystData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of ML algorithmsBachelor's or Master's in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch labs, academic institutions, tech companies focusing on ML innovationsBusiness environments, analytics teams, tech companies applying data insights
Employer & Industry UsageResearch institutions, AI startups, tech giants focusing on ML advancementsCorporate, finance, healthcare, and e-commerce sectors leveraging data for decision-making

While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Research Analysts focus more on developing and testing new algorithms in research settings. Data Scientists apply these techniques to solve practical business problems, often working directly with large datasets to generate insights and support decision-making.

Senior ML Research Scientist -- Remote Healthcare AI Impact

Springfield, MA • On-site

$95K - $122K/yr

Other

Posted 9 days ago


Job description

Jobs / Senior ML Research Scientist — Remote Healthcare AI Impact

Senior ML Research Scientist — Remote Healthcare AI Impact

Full-time

About the Role

Transformcap seeks a Staff Machine Learning Research Scientist to drive cutting-edge ML research with a focus on clinical impact. This fully remote role requires expertise in machine learning and deep learning, especially in developing and evaluating models for healthcare applications. Ideal candidates have a robust research background with publications in leading conferences and skills in Python and ML frameworks like PyTorch. You will lead impactful projects, mentor researchers, and collaborate with engineers to shape the future of AI in healthcare.

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