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Statistics Validator Jobs in Springfield, MA (NOW HIRING)

MassMutual

Lead AI Engineer

Springfield, MA · On-site

$172K - $225K/yr

The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and ... Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered ...

Mass Mutual Financial Group

AI Engineer

Springfield, MA · On-site

The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and ... Build rapid prototypes to test AI approaches and advance validated solutions into production-grade ...

MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and ... Build rapid prototypes to test AI approaches and advance validated solutions into production-grade ...

Kinsley Group

Safety and Fleet Manager

East Granby, CT · On-site

$110K - $125K/yr

Track, submit and report OSHA and Fleet statistics * Conduct cross-functional safety meetings; hold ... Valid driver's license with proof of insurability * Ability to travel on a regular basis Note

Kemper

Data Science Manager

Hartford, CT · Hybrid

Follows the model governance process including planning, documentation, validation, deployment ... PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of ...

Triumph Group, Inc.

Buyer/Planner

West Hartford, CT

$66K - $100K/yr

Create and maintain statistical reports by gathering, analyzing, and validating data. * Support departmental initiatives to improve planning accuracy, supplier performance, and inventory health.

ClifyX

GEN AI Data Scientist Engineer

Hartford, CT · On-site

The role involves building, training, validating, and deploying machine learning models, as well as ... Statistics and Analytical Skills • Intermediate experience with Generative AI concepts and ...

IMI Plc - Legacy Precision

Quality Engineer

Palmer, MA · On-site

$73K - $94K/yr

Analyze quality data using statistical tools to support decision-making and continuous improvement. * Support test and evaluation activities, including Design Verification or validation efforts when ...

IMI plc

Quality Engineer

Palmer, MA · On-site

$73K - $94K/yr

Analyze quality data using statistical tools to support decision-making and continuous improvement. * Support test and evaluation activities, including Design Verification or validation efforts when ...

IMI Plc - Legacy Precision

Quality Engineer

Palmer, MA

$73K - $94K/yr

Analyze quality data using statistical tools to support decision-making and continuous improvement. * Support test and evaluation activities, including Design Verification or validation efforts when ...

Reli Group Inc

Power BI Intern

Springfield, MA · On-site

$15/hr

Perform data validation and troubleshooting on existing reports. * Document processes and ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Hartford, CT · On-site

$15/hr

Perform data validation and troubleshooting on existing reports. * Document processes and ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Cummins

Site Quality Engineer

Bloomfield, CT · On-site

$72K - $92K/yr

... by verifying readiness, validating key performance measures, and providing data-driven ... Strong knowledge of statistical tools and ability to use Minitab for process improvements * SPC ...

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Showing results 21-40

All JobsStatistics Validator JobsStatistics Validator Jobs in Springfield, MA

Statistics Validator information

See Springfield, MA salary details

$40.4K

$83.4K

$116.6K

How much do statistics validator jobs pay per year?

As of Aug 18, 2026, the average yearly pay for statistics validator in Springfield, MA is $83,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $115,600.00 per year, depending on experience, location, and employer.

What is a statistics validator?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a statistics validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

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

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining familiarity with data validation techniques and obtaining relevant certifications, such as the Certified Data Management Professional (CDMP), can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in demand in industries such as finance, healthcare, and research, where data accuracy is critical. These jobs often require strong analytical skills and proficiency with statistical software, and demand is expected to grow as data-driven decision-making increases across sectors.

What job categories do people searching Statistics Validator jobs in Springfield, MA look for?

The top searched job categories for Statistics Validator jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Statistics Validator jobs?

Cities near Springfield, MA with the most Statistics Validator job openings:

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Springfield, MA as of August 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,364 per year, or $40.1 per hour.

Lead AI Engineer

Mass Mutual Financial Group

Springfield, MA • On-site

$172K - $225K/yr

Other

Posted 4 days ago

Job description

The Opportunity
MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership.
The Team
This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable.
The Impact
  • Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability.
  • Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions.
  • Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment.
  • Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable.
  • Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem.
  • Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms.
  • Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team.

The Minimum Qualifications
  • 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale.
  • Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks.
  • Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery.
  • Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks.
  • M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.

The Ideal Qualifications
  • Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols.
  • Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards.
  • Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand.
  • Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search.
  • Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership.
  • Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry.

What to Expect as Part of MassMutual and the Team
  • Regular meetings with the AI & Data Science team
  • Focused one-on-one meetings with your manager
  • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
  • Access to learning content on Degreed and other informational platforms
  • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits

#LI-MC
Salary Range:
$172,000-$225,700
At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component.
Why Join Us.
We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard.
We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual.
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

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