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Remote Data Science Sports Jobs in Connecticut (NOW HIRING)

AVP Applied AI

Hartford, CT · On-site +1

$182K - $273K/yr

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Showing results 21-40

Remote Data Science Sports information

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.

What are the key skills and qualifications needed to thrive as a remote data science sports professional?

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

What is the difference between Remote Data Science Sports vs Remote Data Analysis Sports?

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

Can data science be used in sports?

Data science is widely used in sports to analyze player performance, optimize strategies, and improve team decision-making. Sports data analysts and data scientists utilize tools like machine learning, statistical models, and data visualization to gain insights and enhance athletic outcomes.

Do sports teams hire remote data scientists?

Some sports teams and organizations hire remote data scientists to analyze player performance, game strategies, and fan engagement using data analytics tools. These roles often require skills in statistical modeling, machine learning, and programming languages like Python or R, and may involve collaboration with on-site staff or remote work environments.

How much do remote data science sports make?

Remote data science roles in sports typically have salaries ranging from $70,000 to $130,000 annually, depending on experience, education, and the complexity of projects. Senior positions or those requiring specialized skills in machine learning or sports analytics can earn higher compensation, often exceeding $150,000. These roles often require proficiency in programming languages like Python or R and familiarity with sports data sources and analytics tools.

What are the most commonly searched types of Data Science Sports jobs in Connecticut?

The most popular types of Data Science Sports jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Data Science Sports jobs?

Cities in Connecticut with the most Remote Data Science Sports job openings:

Infographic showing various Remote Data Science Sports job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Associate Director - Data and AI Architecture & Platforms

RTX Corporate

Hartford, CT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


RTX rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies


Job description

Date Posted:

2026-08-31

Country:

United States of America

Location:

US-CT-REMOTE

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

The following position is to join our RTX Enterprise Services team:

RTX’s Enterprise Services Data and AI Organization (ES-Data & AI) is seeking a highly motivated, hands-on, digital thought leader to help architect and engineer the next generation of enterprise-wide Data, Analytics and AI Ecosystem for RTX.  You will be a member of a cross-functional team where you can bring your problem-solving and collaboration skills to solve complex problems in the aerospace and defense industry.  This role will work closely with RTX business units to challenge the boundaries of what’s possible and drive innovation.

The ES-Data & AI team is a catalyst for digital innovation and leadership within a Fortune 50 company.  Together we aim to achieve new levels of productivity by changing the way we work and identifying new sources of growth for our customers.

What You Will Do

  • Design and implement Data, ML and Agentic architectures across a wide range of business domains.

  • Continuously evaluate and integrate emerging technologies and tools to enhance platform capabilities, efficiency, and scalability.

  • Establish and enforce best practices for data and agentic systems

  • Work closely with data scientists, ML engineers, software developers, and business stakeholders to translate technology into operational value.

  • Maintain and continuously improve the operational model of the platform, including working with the Operations team to provide best-in-class monitoring, logging, alerting, incident management, and disaster recovery procedures.

  • Continuously evaluate and integrate emerging technologies and tools to enhance platform capabilities, robustness, efficiency, security and scalability.

  • Partner with the enterprise architecture and data and AI governance teams to align the platform capabilities and controls to internal and external Legal, Cyber and Governance requirements

Qualifications You Must Have 

  • Typically requires a University Degree in STEM, Computer Science or Engineering or equivalent experience and minimum 12 years prior relevant experience, or an Advanced Degree in a related field and minimum 10 years experience

  • 10+ years of experience in architecture, systems engineering, software, or related fields with experience in data and automation architecture, AI/ML platforms, and distributed systems.

  • Experience in knowledge/property graphs, ontologies, semantic layers, and technologies for large-scale data integration.

  • Experience in deployment processes, including IaC, GitOps, Kubernetes, CI/CD methodologies, and DevOps frameworks.

  • Experience in advanced context management, harmonizing data governance tools, ontologies, semantic layers, and AI context.

  • Experience in cloud infrastructure deployments (Azure/AWS) and Python for automation and operational management.

Qualifications We Prefer

  • Experience in Aerospace, Defense, or other regulated industries, including government or classified environments.

  • Expertise in data and AI governance, analytics, machine learning, and data utilization patterns.

  • Demonstrated ability to convert technology to business value

  • Strong leadership, collaboration, analytical, and problem-solving skills with a focus on simplifying processes.

  • Proven ability to foster a positive culture and effectively communicate, organize, and present in a large organization.

  • Excellent communication skills

What We Offer

Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

Learn More & Apply Now!

Work Location: This position is remote within the continental US.

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Remote: Employees who are working in Remote roles will work primarily offsite (from home). The employee may be expected to travel to RTX sites as needed.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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About RTX

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing, it services, aerospace product and parts manufacturing and engineering professional services

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

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