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Data Scientist Electrical Engineer Jobs in Springfield, MA

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 ...

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 ...

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 ...

ClifyX is seeking a GEN AI Data Scientist Engineer with over 8 years of experience. The role involves building, training, validating, and deploying machine learning models, as well as implementing ...

... Data Science • Experience with machine learning, AI, and cognitive service engine models • ... with programming languages like SQL, Python, R, and Scala • Using analytics software and ...

Electrical Engineer

Bloomfield, CT · On-site

$85K - $110K/yr

Electrical Engineer Location: Bloomfield, CT * Test Equipment Engineering * Design, build, and ... Integrate instruments, data acquisition systems, power supplies, PLCs, and automation components as ...

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

Data Scientist

Windsor, CT · On-site

$86 - $146/hr

Work independently and collaboratively on analytical, programming, modelling, and data management activities * Map out and document problem statements, project requirements and associated workflows ...

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Work independently and collaboratively on analytical, programming, modelling, and data management activities * Map out and document problem statements, project requirements and associated workflows ...

Electrical Engineer III JOB SUMMARY Enthusiastic, innovative, hands-on and result oriented ... Closely work with electronics repair shop to flow data regarding component failures to engineering ...

Senior Electrical Engineer

Windsor, CT · On-site

$100K - $150K/yr

Develop control panels and data acquisition/test systems for complex equipment * Create schematics ... * 6+ years of electrical engineering experience in system design environments * Strong ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

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Data Scientist Electrical Engineer information

See Springfield, MA salary details

$45.8K

$164.4K

$242.6K

How much do data scientist electrical engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data scientist electrical engineer 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 are the key skills and qualifications needed to thrive as a data scientist electrical engineer, and why are they important?

To excel as a Data Scientist Electrical Engineer, you need a solid foundation in electrical engineering principles, statistics, and data analysis, usually supported by a degree in electrical engineering, computer science, or a related field. Proficiency in programming languages like Python or MATLAB, experience with machine learning frameworks, and familiarity with tools such as MATLAB, TensorFlow, and data visualization platforms are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These skills ensure that professionals can analyze complex engineering data, develop innovative solutions, and communicate insights effectively to drive technical advancements.

How does a data scientist electrical engineer typically collaborate with cross-functional teams to drive successful projects?

Data Scientist Electrical Engineers often work closely with hardware engineers, software developers, and data analytics teams to develop and optimize intelligent systems. Their role involves translating raw sensor or signal data into actionable insights through advanced analytics and machine learning models. Effective collaboration requires clear communication of complex technical findings and aligning analytical approaches with engineering constraints and project goals. This teamwork is essential for ensuring that data-driven solutions are feasible, scalable, and meet both technical and business requirements.

What does a data scientist electrical engineer do?

A Data Scientist Electrical Engineer combines expertise in electrical engineering with advanced data analysis and machine learning skills. They analyze large sets of electrical data from systems such as power grids, electronic devices, or sensors to identify patterns, optimize performance, and predict failures. These professionals often work on smart grid technology, IoT applications, or improving the efficiency and reliability of electrical systems through data-driven insights. Their role bridges traditional engineering practices with modern data science techniques.

What is the difference between Data Scientist Electrical Engineer vs Electrical Engineer?

AspectData Scientist Electrical EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Data Science, or related fields; certifications like IEEE or data analytics certificationsBachelor's or Master's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentTech companies, R&D labs, industries integrating data analysis with electrical systemsPower plants, manufacturing, construction, and infrastructure projects
Industry UsageData-driven electrical system optimization, predictive maintenance, IoT applicationsDesign, develop, and maintain electrical systems and equipment

Data Scientist Electrical Engineers combine electrical engineering expertise with data analysis skills to optimize electrical systems and develop innovative solutions. In contrast, Electrical Engineers focus on designing and maintaining electrical infrastructure. Both roles require strong technical credentials but differ in their focus on data analytics versus traditional electrical design.

Can an electrical engineer work as a data scientist?

An electrical engineer can work as a data scientist if they acquire relevant skills such as programming in Python or R, understanding of machine learning algorithms, and data analysis techniques. Many data scientists have backgrounds in engineering, mathematics, or computer science, and transitioning often involves additional training or certification in data analytics and statistics.
What job categories do people searching Data Scientist Electrical Engineer jobs in Springfield, MA look for? The top searched job categories for Data Scientist Electrical Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Scientist Electrical Engineer jobs? Cities near Springfield, MA with the most Data Scientist Electrical Engineer job openings:
Infographic showing various Data Scientist Electrical Engineer job openings in Springfield, MA as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $164,441 per year, or $79.1 per hour.

Full-time

Posted 12 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.   
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.  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.  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.  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.