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Data Science Degree Jobs in Springfield, MA (NOW HIRING)

Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment. * PhD in ...

Master's Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience * Expert-level ...

Master's Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience * Expert-level ...

Work closely with data engineering and infrastructure teams to deploy models and data products at ... Bachelor's degree in Statistic, Computer Science, Engineering, Mathematics or related field is ...

New

... 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 governance and working ...

Lead Data Scientist

Manchester, CT ยท On-site

$144K - $198K/yr

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

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 ...

New

Data Engineer

Hartford, CT

$115K - $138K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent work experience. * Experience building and supporting data pipelines in cloud-based ...

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Showing results 1-20

Data Science Degree information

See Springfield, MA salary details

$37.4K

$122.3K

$195.8K

How much do data science degree jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data science degree in Springfield, MA is $122,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What is a Data Science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What types of real-world projects or team collaborations can I expect to work on after earning a Data Science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.
What are popular job titles related to Data Science Degree jobs in Springfield, MA? For Data Science Degree jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Data Science Degree jobs in Springfield, MA look for? The top searched job categories for Data Science Degree jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Science Degree jobs? Cities near Springfield, MA with the most Data Science Degree job openings:
Infographic showing various Data Science Degree job openings in Springfield, MA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,309 per year, or $58.8 per hour.

Data Science Manager

Kemper

Hartford, CT โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Location(s)

Alpharetta, Georgia, Bloomington, Illinois, Boston, Massachusetts, Chicago, Illinois, Columbus, Ohio, Hartford, Connecticut, Omaha, Nebraska

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide experience to our stakeholders that delivers on our promises.

Position Summary:

Responsible for developing and delivering machine learning and AI solutions for Claims use cases, including claim triage, fraud detection, severity prediction, litigation, subrogation, workflow optimization, and other claims analytics applications, while providing technical leadership and leading projects. This role includes direct people leadership responsibilities, including coaching, mentorship, and performance management

Position Responsibilities:

  • Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.
  • Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
  • Manages project scope, expectations, and timelines.
  • Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.
  • Follows the model governance process including planning, documentation, validation, deployment, monitoring, and review.
  • Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
  • Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.

Position Qualifications:

  • Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment.
  • PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.
  • Prior experience mentoring or managing talent.
  • Experience developing and deploying predictive models into production.
  • At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
  • Strong proficiency in Python and SQL.
  • Experience with software development best practices, including version control (Git), code reviews, testing, and model lifecycle management.
  • Strong written and verbal communication skills, including the ability to communicate technical concepts and analytical insights to business stakeholders and senior leadership.
  • Claims experience preferred.
  • This position can be worked hybrid out of a local Kemper office. Remote options will be considered for non-local candidates.
  • Sponsorship is not accepted for this opportunity
  • The range for this position is $115,700 to $192,900. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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