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Data Science Jobs in Springfield, MA (NOW HIRING)

Decision Scientist

Hartford, CT · On-site +1

$60/hr

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

GenAI Data Engineer

Hartford, CT · Remote

$117.20K - $140.70K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

GenAI Data Engineer

Hartford, CT

$115.50K - $138.70K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115.50K - $138.70K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

D. preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related fields. Candidate must be authorized to work in the US without company sponsorship.The company will not ...

GCP Cloud Engineer

Hartford, CT

$115.50K - $138.70K/yr

In this role, you will develop scalable data pipelines, enable advanced analytics, and partner closely with our Data Science team to support model development and deployment workflows. You will work ...

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Data Science information

See Springfield, MA salary details

$37.4K

$122.3K

$195.8K

How much do data science jobs pay per year?

As of May 29, 2026, the average yearly pay for data science 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 Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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 statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What are the most commonly searched types of Data Science jobs in Springfield, MA? The most popular types of Data Science jobs in Springfield, MA are:
What are popular job titles related to Data Science jobs in Springfield, MA? For Data Science jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Springfield, MA look for? The top searched job categories for Data Science jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Science jobs? Cities near Springfield, MA with the most Data Science job openings:
Infographic showing various Data Science job openings in Springfield, MA as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $122,309 per year, or $58.8 per hour.
Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Cigna

Bloomfield, CT • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

32nd of 864 rated healthcare providers


Job description

Join our Data Science Center of Expertise and help shape the future of healthcare forecasting. In this role, you will drive innovative approaches to medical cost trend forecasting and reserving, improving accuracy and enabling smarter financial decisions. You will work with cross-functional partners to bring advanced analytics to life and strengthen the predictability and stability of our business.

Responsibilities

  • Lead the design and delivery of advanced medical cost forecasting solutions that improve claim reserving and enterprise financial forecasting

  • Prototype and validate new analytical approaches using techniques such as time series modeling, simulation, and machine learning

  • Create diagnostics and performance measures to evaluate forecast accuracy and explain key cost drivers

  • Partner with finance, actuarial, and business teams to translate forecasting needs into actionable analytics solutions

  • Communicate findings through clear insights, presentations, and technical documentation to support decision-making

  • Develop early-warning analytics to identify emerging cost trends and risks

  • Collaborate with data engineering and product teams to ensure scalable and interpretable solutions

  • Contribute to model monitoring, governance, and continuous improvement processes

  • Mentor junior team members and share best practices across the data science community

Qualifications

Required Qualifications

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

  • Strong proficiency in Python, SQL, machine learning, and statistical modeling

  • Hands-on experience with forecasting techniques such as time series analysis, simulation, or scenario modeling

  • Experience working with large datasets using platforms such as Databricks or Spark

  • Ability to communicate complex analytical concepts to technical and business audiences

  • Experience partnering cross-functionally to deliver data-driven solutions

Preferred Qualifications

  • Experience in healthcare payer analytics, including medical cost trend, reserving, or pricing

  • Experience with anomaly detection or advanced statistical techniques

  • Knowledge of model lifecycle management and best practices for reproducible research

  • Demonstrated ability to mentor and guide junior team members


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 131,200 - 218,600 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 and paid holidays. 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.


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