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Senior Data Scientist Jobs in Springfield, MA (NOW HIRING)

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

Imagine loving what you do and where you do it. Job Category Data Analytics, Data Science ... As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape.

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

Imagine loving what you do and where you do it. Job Category Data Analytics, Data Science ... As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape.

Data Engineer

Hartford, CT · On-site

$64K - $173K/yr

... data scientist, and product teams in a fast-paced, agile environment leveraging cutting-edge ... The Senior Data Engineer is expected to have extensive knowledge of modern programming languages ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

Sr. Data Analyst

Windsor, CT · 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 ...

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape ... Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or ...

Sr..Data Analyst/SAS Reporting

Hartford, CT · On-site

$86K - $109K/yr

Keylent Inc is seeking a Senior Data Analyst/SAS Reporting to support the National Quality Management Quality Reporting Team. The role involves technical components related to data ingestion ...

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

Partner with Data Scientists, Data Engineers,AssetOwners, Underwriting, Pricingstakeholders to ... senior technical leadership. MinimumRequirements Bachelor'sdegree in related field or6+ years of ...

Data Architect_ Windsor, CT

Windsor, CT · On-site

$63.50 - $81.75/hr

Georgia IT, Inc. is seeking a Senior Data Architect to lead enterprise data strategy, data platform ... Computer Science, Engineering, or related field • Excellent business communication ...

Showing results 21-40

Senior Data Scientist information

See Springfield, MA salary details

$41.4K

$142K

$200.3K

How much do senior data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior data scientist in Springfield, MA is $141,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,100.00 and $165,900.00 per year, depending on experience, location, and employer.

What is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What are the key skills and qualifications needed to thrive as a senior data scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. They often have advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R.
More about Senior Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Springfield, MA?

The most popular types of Data Scientist jobs in Springfield, MA are:

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For Senior Data Scientist jobs in Springfield, MA, the most frequently searched job titles are:

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The top searched job categories for Senior Data Scientist jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Senior Data Scientist jobs?

Cities near Springfield, MA with the most Senior Data Scientist job openings:

Infographic showing various Senior Data Scientist job openings in Springfield, MA as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $141,962 per year, or $68.3 per hour.

Load Forecasting Data Scientist

Windsor, CT • On-site

ISO New England, Inc.
Utilities • 501 - 1,000 employees

$117K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England's ongoing transition to clean energy.
New technologies and the New England region's economy-wide decarbonization efforts are driving a profound transformation in the work of the Forecast Group within System Planning. Responsible for analytics and predictive modeling of the region's electricity demand across all timescales-spanning both short-term and long-term time horizons-the Forecast Group is innovating and redesigning its forecasting methods, software, and tools to meet changing trends in how retail customers procure, manage and use electricity.
This role requires a self-starter with demonstrated ability to work seamlessly both unsupervised and in a fast-paced, collaborative team environment. There are two open positions, each having a respective emphasis on either short- or long-range forecasting. Both roles provide an opportunity to lead the team's development of next generation forecasting tools and methodologies that are integral to the planning and operation of the future grid.
NOTE: This role is currently located in Windsor, CT until it permanently moves to Holyoke, MA, which is currently expected to occur in 2028.
What we offer you:
  • A stable, mission-driven workplace where your impact truly matters
  • A highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeing
  • Competitive compensation with a base salary + performance bonus
  • Robust benefits package, including:
    • Enhanced 401(k) and financial planning support
    • Tuition reimbursement and professional development
    • Wellness programs, including an onsite gym
    • Flexible work hours
    • Employee Business Networks
    • Onsite luncheon spaces with free coffee and a variety of dining options
  • Hybrid work environment (3 days/week onsite)
  • Distance-based relocation assistance available

How you will make an Impact
  • Work independently and collaboratively on analytical, programming, modelling, and data management activities
  • Map out and document problem statements, project requirements and associated workflows in pursuit of efficient and effective solutions
  • Leverage a curious mindset, initiative, and "elbow grease" to enhance existing processes, and to innovate new forecasting methods, tools, and software
  • Communicate complex, technical content to a diverse audience through written reports and presentations
  • Apply a persistent drive for quality results to lead the development of data pipelines, reusable software packages and visualizations
  • Stay current with forecasting research and industry best practices; evaluate and implement relevant approaches strategically

What we are looking for
  • Bachelor's degree in Economics, Mathematics, Engineering, Operations Research, or a related field
  • 3+ years of experience in the energy industry in forecasting, data analytics, or equivalent
  • Proficiency in at least one advanced programming language such as Python, R, MATLAB, or SAS
  • Hands-on experience developing software in a collaborative team environment
  • Experience working with big data, geospatial analytics, and/or probabilistic forecasting
  • Experience building applications that ingest and use data from multiple sources and formats (i.e., data wrangling/data munging).
  • 5+ years of relevant experience is required to be considered for a senior-level position. 7+ years of relevant experience is required to be considered for a lead-level position.
  • Excellent written and verbal communication skills
  • Desired but not required:
    • Experience in electricity consumption modelling or economic modelling in the energy sector
    • Knowledge about distributed energy resources (e.g. photovoltaics, batteries), electric vehicles, and/or cold-climate heat pumps

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).
The expected salary range for the Associate to Mid-Level is $86,000 - $120,000 per year. We will also consider a Senior or Lead. The pay range for the Senior to Lead level is $117,000 - $146,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.
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This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required.
Equal Opportunity: We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.
Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.