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Data Scientist Electrical Engineer Jobs in Springfield, MA

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine ...

Sr. Engineer, Electrical Engineering

South Windsor, CT · On-site

$104K - $136K/yr

... the data center market. We are dedicated to helping our clients achieve energy efficiency ... Job Information We are looking for an experienced Senior Electrical Engineer with a specialized ...

Sr. Engineer, Electrical Engineering

South Windsor, CT · On-site

$104K - $136K/yr

... the data center market. We are dedicated to helping our clients achieve energy efficiency ... Job Information We are looking for an experienced Senior Electrical Engineer with a specialized ...

Integrate power supplies, PLCs, data acquisition systems, instrumentation, and automation ... Bachelor's degree in Electrical Engineering, Electronics Engineering Technology, Industrial ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Within Customer Operations Data Science, we build modern AI products that optimize customer ...

Showing results 41-60

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.

Data Science Advisor - Hybrid

Cigna

Bloomfield, CT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Cigna Healthcare rating

8.4

Company rating: 8.4 out of 10

Based on 238 frontline employees who took The Breakroom Quiz

24th of 887 rated healthcare providers


Job description

Join Evernorth Health Services' Enterprise Data Science team and help solve healthcare's most complex challenges. As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth. This role offers the opportunity to work on high-impact initiatives, partner with senior leaders, and shape the future of data-driven healthcare solutions.

Responsibilities

  • Lead the design and delivery of advanced data science solutions that align to business and clinical priorities.

  • Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive measurable outcomes.

  • Translate complex data into clear insights and recommendations for business and technical stakeholders.

  • Partner with cross-functional teams (IT, Clinical, Operations) to deliver end-to-end analytics solutions.

  • Apply advanced analytical methods including segmentation, regression, and time-series analysis to solve business problems.

  • Create scalable data pipelines and leverage big data technologies to support analytics initiatives.

  • Present findings to senior leaders to influence strategy and decision-making.

  • Provide thought leadership and mentor others on data science best practices and emerging technologies.

Required Qualifications

  • 5+ years of experience in data science, advanced analytics, or a related field.

  • Strong programming skills in Python, R, SQL, or similar tools.

  • Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.

  • Experience developing predictive models using methods such as regression, decision trees, or neural networks.

  • Exposure to big data technologies such as Apache Spark and cloud platforms (e.g., AWS).

  • Knowledge of healthcare data and systems (e.g., claims data, ICD-10) and ability to apply insights to real-world challenges.

  • Ability to communicate complex findings to both technical and non-technical audiences.

  • Strong collaboration, problem-solving, and critical thinking skills.

Preferred Qualifications

  • Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar.

  • Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases.

  • Experience with data visualization tools such as Tableau.


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 107,700 - 179,500 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.


At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.


About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


What Cigna Healthcare employees say

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About Cigna

Sourced by ZipRecruiter

Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you'll enjoy meaningful career experiences that enrich people's lives.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Bloomfield, CT, US

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