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Stats Perform Jobs in Springfield, MA (NOW HIRING)

Chubb

AVP, Lead Data Scientist

Simsbury, CT

As a Lead Data Scientist for NA PC Analytics, you will perform quantitative data analysis to enable ... Provide leadership and oversight to project teams creating advanced statistical models, including ...

Triumph Group, Inc.

Buyer/Planner

West Hartford, CT

$66K - $100K/yr

Experience in statistical reporting, forecasting, and understanding financial/operational impacts. * Strong communication skills and ability to perform under pressure * Knowledge of Supply Chain ...

BOSS ProStaffing

Be Seen First

Injection Molding Operator

Springfield, MA · On-site

$18 - $19/hr

Perform routine maintenance and cleaning * Identify nonconforming materials/products and work with ... Knowledge of quality control principles and Statistical Process Control. Company Description BOSS ...

RTX

Machinist IV, 3rd Shift (Onsite)

Windsor Locks, CT · On-site

$36.46 - $45.80/hr

Operate machinery, perform subassembly, prep components for welding, and conduct inspections to ... Utilize statistical methods to monitor process control and capability. Use data to investigate ...

Town of Vernon

Head of Circulation and Technology

CT · On-site

... regular statistical reports. - Oversees interlibrary loan and delivery to homebound patrons ... May work on special projects and/or perform other duties as required. Regular and Punctual ...

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All JobsStats Perform JobsStats Perform Jobs in Springfield, MA

Stats Perform information

See Springfield, MA salary details

$23.4K

$96.4K

$162.5K

How much do stats perform jobs pay per year?

As of Jul 13, 2026, the average yearly pay for stats perform in Springfield, MA is $96,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $104,100.00 per year, depending on experience, location, and employer.

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 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 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 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.
What job categories do people searching Stats Perform jobs in Springfield, MA look for? The top searched job categories for Stats Perform jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Stats Perform jobs? Cities near Springfield, MA with the most Stats Perform job openings:
Stats Perform jobs near you
AVP, Lead Data Scientist

AVP, Lead Data Scientist

Chubb

Simsbury, CT

Full-time

Posted 11 days ago

Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

122nd of 281 rated insurance

Job description

Chubb's North America Data and Analytics Division is currently seeking an experienced Lead Data Scientist with 7+ years of industry experience to join our fast-paced, high-energy team. As a Lead Data Scientist for NA PC Analytics, you will perform quantitative data analysis to enable organizational decision making and develop solutions to complex business problems and create value to the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving.
In this role, you will:

    Provide leadership and oversight to project teams creating advanced statistical models, including commercial insurance pricing models.  
    Synthesize data to uncover inherent trends, assess impact of data on business usage, and to make recommendations for improvement
    Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem
    Builds and deploys generalize linear models in support of our pricing modeling efforts for business lines such as homeowners, property, and casualty
    Performs data validation and exploratory data analyses
    Communicates analytical goals, approach, outcomes, and insights to both technical and non-technical audiences
    Translate analytical findings into relevant business insights
    Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics
    Effectively communicate with key stakeholders (both technical and non-technical) in written, oral and presentation formats
    Create/Maintain excellent working relationships with business partners across the Chubb organization including Field, Product, Operations, IT and analytics peer groups.
    Lead teams of junior data scientists and engineers and provide guidance and mentorship directly and indirectly
 

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Required:
o    Superb programming experience in Python
o    Excellent ML modeling skills
o    Advanced understanding of predictive and prescriptive analytics and data visualization.
o    Strong leadership skills to provide guidance and direction to project teams.
o    Data manipulation and feature engineering
o    Exploratory data analysis and model development and solution design
o    Programming experience in SQL.
o    Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats.
o    The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.
o    A/B testing experience for quality engineering
o    GLM (Generalized Linear Modeling) 

Preferred:
o    Prior insurance and/or financial services experience.
o    Working knowledge/familiarity with Git version control.
o    Experience in architecting and consuming APIs at scale.
o    Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP/Snowflake).
o    Advanced knowledge of model tuning, evaluation, and operationalization.
 

Education:
    The candidate should have 7+ years of industry experience in data science and analytics.  Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred.

Location:

    We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - New York, NY - Simsbury, CT). 
    Please note, there will be limited expected travel to various work locations for in person collaboration and meetings.

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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US

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