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Phd In Statistics Jobs in Springfield, MA (NOW HIRING)

Munich Re

Senior Data Scientist

Hartford, CT · On-site

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or ...

Munich RE

Senior Data Scientist

Hartford, CT · On-site

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or ...

Deloitte

AI Engineer Consultant

Hartford, CT · Hybrid

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 2+ years of experience ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Springfield, MA?

For Phd In Statistics jobs in Springfield, MA, the most frequently searched job titles are:

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

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

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

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

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Springfield, MA as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Senior Data Scientist

Munich Re

Hartford, CT • On-site

Full-time

Re-posted 8 days ago

Key responsibilities

  • Work independently on data science projects and make methodological decisions within project scope.

  • Act as a mentor to junior data scientists and assign them specific project tasks.

  • Manage a portfolio of projects simultaneously and interface with other divisions to understand their business strategies and goals.

Job description

In this position, you will work independently on data science projects of any scale and you will be empowered to make methodological decisions within the scope of a given project.
Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope.
Work on a portfolio of projects simultaneously and are expected to adequately manage their own time to meet client expectations.
Regularly interface with other divisions and groups within HSB and have a thorough understanding of their business strategies and goals.
Education and Experience:
  • 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 mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in other industry
  • Experience in feature engineering on structured and unstructured data
  • Experience with Git or similar tool for version control
  • Experience working with big-data technology on Linux-based systems.
  • Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.)
  • Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus

Knowledge and Skills:
  • Hands-on experience in Python, R, SQL, Scala
  • Exposure to cloud computing (Azure, AWS, etc.)
  • Solid foundation in statistics and machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
  • Ability to write production-ready code

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

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