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Education Data Scientist Jobs in Springfield, MA

Work closely with data engineering and infrastructure teams to deploy models and data products at ... Education and Experience: * Bachelor's degree in Statistic, Computer Science, Engineering ...

... Education โ€ข Bachelor's degree in computer science, business, IT, management, administration, economics, or information science โ€ข 2 years of user research and feedback analysis โ€ข 2 years of data ...

Education and Experience: * Master's degree in a Statistics, Computer Science, Engineering ... Experience working with big-data technology on Linux-based systems. * Experience with deep learning ...

Education and Experience: * Master's degree in a Statistics, Computer Science, Engineering ... Experience working with big-data technology on Linux-based systems. * Experience with deep learning ...

Education and Experience: * Master's degree in a Statistics, Computer Science, Engineering ... Experience working with big-data technology on Linux-based systems. * Experience with deep learning ...

Manages a small team of data scientists and data engineers to research, design, develop, deploy ... When determining candidate offers, we consider experience, skills, education, certifications, and ...

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Education Data Scientist information

See Springfield, MA salary details

$45.8K

$164.4K

$242.6K

How much do education data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for education data scientist in Springfield, MA is $164,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $169,400.00 per year, depending on experience, location, and employer.

What does an education data scientist do?

An Education Data Scientist analyzes and interprets educational data to help schools, universities, and educational organizations improve learning outcomes and operational efficiency. They use statistical techniques, machine learning, and data visualization tools to uncover patterns, evaluate programs, and make data-driven recommendations. Their work may involve tracking student performance, evaluating curriculum effectiveness, and supporting education policy decisions. Education Data Scientists often collaborate with educators, administrators, and policymakers to turn insights into actionable strategies.

What are the key skills and qualifications needed to thrive as an education data scientist?

To thrive as an Education Data Scientist, you need strong expertise in statistics, data analysis, and programming (often with a background in data science, mathematics, or a related field). Familiarity with tools like Python, R, SQL, machine learning frameworks, and experience handling large educational datasets are typically required. Effective communication, problem-solving, and collaboration skills help you translate complex analyses into actionable insights for educators and administrators. These skills are vital for driving data-informed decisions that improve educational outcomes and institutional effectiveness.

How does an education data scientist typically collaborate with educators and administrators to drive data-informed decisions?

Education Data Scientists frequently work alongside teachers, school administrators, and curriculum designers to analyze student performance data, identify trends, and develop actionable insights. They often present their findings in accessible formats, such as dashboards or reports, and lead workshops to help stakeholders interpret and utilize the data effectively. Building strong communication skills is important, as translating technical results into practical educational strategies is a key part of the role. Collaboration is ongoing and iterative, with data scientists regularly collecting feedback to refine models and recommendations.

What is the difference between Education Data Scientist vs Education Analyst?

AspectEducation Data ScientistEducation Analyst
Required CredentialsBachelor's or Master's in Data Science, Education, or related fields; programming skillsBachelor's or Master's in Education, Statistics, or related fields; data analysis skills
Work EnvironmentData-driven projects in educational institutions, edtech companies, research organizationsData collection, reporting, and assessment in schools, districts, or education departments
Employer & Industry UsageEdtech firms, research institutions, universitiesSchool districts, education departments, nonprofit organizations

Education Data Scientists focus on advanced data modeling, machine learning, and predictive analytics to improve educational outcomes. Education Analysts primarily handle data collection, reporting, and basic analysis to support decision-making. Both roles require strong analytical skills but differ in technical complexity and scope.

What kind of education do you need to be an education data scientist?

Education data scientists typically hold at least a bachelor's degree in fields such as data science, statistics, computer science, or education research. Many roles prefer or require a master's degree or higher, along with skills in programming languages like Python or R, data analysis, and familiarity with educational data systems.

What are popular job titles related to Education Data Scientist jobs in Springfield, MA?

For Education Data Scientist jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Education Data Scientist jobs in Springfield, MA look for?

The top searched job categories for Education Data Scientist jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Education Data Scientist jobs?

Cities near Springfield, MA with the most Education Data Scientist job openings:

Infographic showing various Education Data Scientist job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $164,441 per year, or $79.1 per hour.

Data Scientist

Munich Re

Hartford, CT โ€ข On-site

Full-time

Posted 25 days ago


Job description

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied within the scope of a given project.

In addition, you will work on small scale or ad hoc data science projects independently.

Work closely with data engineering and infrastructure teams to deploy models and data products at scale.

Education and Experience:

  • Bachelor's degree in Statistic, Computer Science, Engineering, Mathematics or related field is required
  • Master's degree in a qualitative field is preferred
  • 2+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 4+ years predictive analytics, data mining or statistical analysis in other industry
  • Experience with Git or similar tool for version control
  • Experience developing or applying generative AI models (such as large language models or generative adversarial networks) to solve business problems is a plus
  • Proficiency with natural language processing (NLP) techniques and tools for extracting insights from unstructured data, including experience with prompt engineering or deploying AI-powered chatbots and virtual assistants is a plus
  • Experience working with big-data technology on Linux-based systems is a plus
  • Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) is a plus
  • Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus

Knowledge and Skills:

  • Hands-on experience in Python, R, SQL, Scala
  • Exposure to cloud computing (Azure, AWS, etc.)
  • Solid foundation in statistics and machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
  • Ability to write production-ready code

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. ย ย 
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer.ย  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.ย  The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee.ย  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.