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Stats Perform Jobs in Bloomfield, CT (NOW HIRING)

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is ... Reasonable accommodations may be made to enable individuals with disabilities to perform the ...

Research Associate

Hartford, CT · On-site

$17.91 - $22.39/hr

Performs other duties as assigned. Specific duties may vary based on the discipline and project ... Familiarity with subject-specific practices and protocols (e.g., IRB procedures, statistical ...

Quality Engineer

Torrington, CT · On-site

$71K - $91K/yr

Performs various analytical auditing, inspection and product support duties. Responsible for new ... Excellent math skills and understanding of Statistics as they apply to measurement. Good written ...

Showing results 21-40

Stats Perform information

See Bloomfield, CT salary details

$24K

$98.9K

$166.9K

How much do stats perform jobs pay per year?

As of Sep 7, 2026, the average yearly pay for stats perform in Bloomfield, CT is $98,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $106,900.00 per year, depending on experience, location, and employer.

What is Stats Perform?

Stats Perform is a global sports technology company that specializes in sports data and artificial intelligence (AI). They provide data, analytics, and insights to sports teams, media, and betting companies to enhance performance, fan engagement, and decision-making. Their services include live sports data, predictive analytics, and AI-driven content solutions across various sports. Stats Perform works with leagues, broadcasters, and digital platforms to deliver real-time data and innovative sports experiences.

How does a role at Stats Perform typically collaborate with data scientists and product teams to deliver sports analytics solutions?

At Stats Perform, professionals frequently work in cross-functional teams alongside data scientists, engineers, and product managers to develop and refine sports analytics products. Collaboration often involves regular meetings to discuss project requirements, share insights from data, and iterate on models or features based on feedback. Team members must communicate complex statistical findings in an accessible way to inform product development and ensure solutions meet the needs of clients, such as broadcasters, teams, or betting operators. This collaborative environment encourages ongoing learning and the chance to contribute to innovative, high-impact analytics projects.

What are the key skills and qualifications needed to thrive as a sports data analyst at Stats Perform, and why are they important?

To thrive as a Sports Data Analyst at Stats Perform, you need strong analytical skills, statistical knowledge, and experience with data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with technical tools such as Python, R, SQL, and sports analytics platforms is essential, along with experience in data visualization software. Exceptional attention to detail, communication, and problem-solving abilities help analysts interpret data and share actionable insights with stakeholders. These skills ensure the accurate delivery of data-driven insights that inform strategy and enhance sports performance analysis.

What is the difference between Stats Perform vs Data Analyst?

AspectStats PerformData Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with sports data and analyticsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentSports analytics companies, media, and broadcasting firmsVarious industries including finance, marketing, healthcare, and sports
Employer & Industry UsageSpecialized in sports data and performance analyticsBroadly used across multiple sectors for data-driven decision making
Common Search & ComparisonOften compared for sports analytics rolesCompared for general data analysis roles

Stats Perform specializes in sports data and analytics, focusing on performance insights for sports organizations and media. Data Analysts have a broader scope, working across various industries to interpret data and support decision-making. While both roles require similar technical skills and educational backgrounds, Stats Perform roles are industry-specific, whereas Data Analysts work in diverse sectors.

What job categories do people searching Stats Perform jobs in Bloomfield, CT look for?

The top searched job categories for Stats Perform jobs in Bloomfield, CT are:

What cities near Bloomfield, CT are hiring for Stats Perform jobs?

Cities near Bloomfield, CT with the most Stats Perform job openings:

Infographic showing various Stats Perform job openings in Bloomfield, CT as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $98,941 per year, or $47.6 per hour.

Senior Data Scientist

Munich RE

Hartford, CT • On-site

Other

Re-posted 11 days ago


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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