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Data Analyst Data Science Jobs in Springfield, MA

Good understanding and implementation of graph analytics and graph algorithm. Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using GATE or UIMA. Good ...

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 ...

Sr. Data Analyst

Windsor, CT ยท On-site

$45 - $50/hr

Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50/hr on C2C or 1099 and $44/hr on W2 without benefits Consultant need to work on USM W2 ...

Lead Data Scientist

Manchester, CT ยท On-site

$144K - $198K/yr

Bachelor's degree in data science or related field preferred * Master's degree preferred * Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against ...

Bachelor's degree in data science or related field preferred * Master's degree preferred * Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against ...

Showing results 21-40

Data Analyst Data Science information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do data analyst data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data analyst data science in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Springfield, MA?

For Data Analyst Data Science jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Springfield, MA look for?

The top searched job categories for Data Analyst Data Science jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Data Analyst Data Science jobs?

Cities near Springfield, MA with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,351 per year, or $39.6 per hour.

Senior Manager - Data Science (Pricing & Underwriting) - Remote

Cigna Health and Life Insurance Company

Bloomfield, CT โ€ข On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Responsibilities

Lead, coach, and develop a team of Data Scientists while building a culture of learning, collaboration, technical excellence, and innovation. Guide the strategy and longโ€‘term evolution of renewal risk estimation capabilities, including a flagship renewal risk model and related analytics. Set priorities and allocate resources across a portfolio of highโ€‘impact data science initiatives to deliver reliable business outcomes. Provide handsโ€‘on technical direction for solution design, predictive modeling, machine learning, statistical analysis, forecasting, model evaluation, and risk estimation. Establish practical standards for peer review, documentation, validation, monitoring, performance tracking, governance, and ongoing model maintenance. Improve model performance, explainability, reproducibility, reliability, and business relevance while meeting enterprise standards. Partner with pricing, underwriting, actuarial, data, technology, and analytics teams to turn business needs into clear analytical roadmaps and productionโ€‘ready solutions. Communicate model outputs, assumptions, limitations, and recommendations in a clear way for technical and nonโ€‘technical audiences. Support adoption of analytical solutions by helping stakeholders understand how to use model insights in pricing and underwriting workflows.

Required Qualifications
  • 8+ years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative field.
  • Experience developing predictive models, machine learning solutions, and advanced analytical methods using large, complex datasets.
  • Experience leading Data Scientists and delivering complex analytical initiatives that solve business problems and influence decisions.
  • Strong knowledge of statistical modeling, predictive analytics, machine learning, model evaluation, and experimental design.
  • Proficiency with modern data science technologies such as Python, SQL, Spark, and machine learning frameworks.
  • Experience developing, validating, monitoring, and governing analytical models in production environments.
  • Strong communication and stakeholder management skills, including the ability to explain complex concepts to varied audiences.
  • Ability to balance strategic leadership with handsโ€‘on technical contribution.
Preferred Qualifications
  • Bachelor's or advanced degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related quantitative field.
  • Experience with healthcare data, including medical claims, pharmacy claims, eligibility, provider, consumer, or related datasets.
  • Experience supporting pricing, underwriting, risk assessment, forecasting, or related business functions.
  • Experience deploying and supporting machine learning solutions in production.
  • Experience leading cross-functional work across business, analytics, and technology teams.
  • Familiarity with responsible AI, model governance, and explainability practices.
Benefits

At The Cigna Group, youโ€™ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, youโ€™ll be offered several healthโ€‘related benefits including medical, vision, dental, and wellโ€‘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 this position, we anticipate offering an annual salary of 149,100 - 248,500 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.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, weโ€™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.

The Cigna Group has a tobaccoโ€‘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.

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