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Remote Data Science Sports Jobs in Bloomfield, CT

... life sciences. This role owns end-to-end delivery across multiple workstreams, establishes ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

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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 job categories do people searching Remote Data Science Sports jobs in Bloomfield, CT look for?

The top searched job categories for Remote Data Science Sports jobs in Bloomfield, CT are:

What cities near Bloomfield, CT are hiring for Remote Data Science Sports jobs?

Cities near Bloomfield, CT with the most Remote Data Science Sports job openings:

Infographic showing various Remote Data Science Sports job openings in Bloomfield, CT as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Underwriting Strategy Analyst - Remote Opportunity

GuideOne Insurance

Hartford, CT โ€ข On-site, Remote

$81K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description


The Senior Underwriting Strategy Analyst supports the Director of Underwriting Strategy in driving portfolio performance, optimizing underwriting, and advancing strategic initiatives across the underwriting lifecycle. This role blends analytics, underwriting expertise, and cross-functional leadership to improve risk selection, profitability, and operational efficiency.

Accountabilities:

Underwriting Strategy & Portfolio Management

  • Support development and execution of underwriting strategies aligned to growth, profitability, and risk appetite goals
  • Analyze portfolio performance trends (loss ratio, hit rate, retention, pricing adequacy) and recommend actionable improvements
  • Monitor underwriting guidelines and identify opportunities for refinement based on emerging experience and market dynamics
  • Assist in segmentation strategies to optimize risk selection and pricing precision

Data Analysis & Insights

  • Conduct advanced data analysis to identify drivers of loss, profitability, and underwriting performance
  • Develop dashboards, scorecards, and reporting frameworks for leadership visibility
  • Partner with actuarial, data science, and finance teams to evaluate pricing models and assumptions
  • Translate complex data into clear, actionable recommendations for underwriting leadership

Underwriting Governance & Execution

  • Support governance frameworks including referral processes, authority structures, and underwriting controls
  • Perform audits and quality assurance reviews to ensure adherence to underwriting guidelines
  • Identify process gaps and recommend enhancements to improve consistency and decision quality

Cross-Functional Collaboration

  • Partner with Product, Actuarial, Claims, Distribution, and Operations to align strategy and execution
  • Contribute to product development, coverage enhancements, and market positioning initiatives
  • Support field underwriting teams with insights, tools, and strategic guidance

Process Improvement & Transformation

  • Identify and lead initiatives to streamline underwriting workflows and reduce friction
  • Support automation, digitization, and decision-support tool development
  • Drive continuous improvement in underwriting efficiency and scalability

Strategic Projects

  • Lead or support high-impact initiatives such as:
    • New program or segment launches
    • Profitability remediation strategies
    • Expansion into new markets or distribution channels
  • Prepare executive-level presentations and strategic recommendations

Qualifications:

 Required

  • Bachelor’s degree in Finance, Economics, Risk Management, Data Analytics, or related field
  • 5+ years of experience in underwriting, underwriting strategy, or analytics within insurance
  • Strong understanding of underwriting principles, pricing dynamics, and risk selection
  • Advanced analytical skills (Excel, SQL, or similar tools; Tableau/Power BI preferred)
  • Demonstrated ability to translate data into business strategy

Preferred

  • Experience in commercial lines
  • Exposure to predictive modeling, pricing analytics, or portfolio optimization
  • Project management experience leading cross-functional initiatives
  • Professional designations (CPCU, ARM, ACAS/FCAS, etc.)

Core Competencies

  • Strategic thinking and problem-solving
  • Strong business and financial acumen
  • Executive communication and storytelling
  • Collaboration and stakeholder influence
  • Detail orientation with a results-driven mindset

Pay Range:

Anticipated Hiring Range:

  • $81,000 - $130,000 commensurate with experience

Get to Know GuideOne:

At GuideOne, we believe that our people are our greatest asset, and we foster a sense of collaboration among our team members so they can learn from and inspire one another to deliver excellence in risk solutions and services to our customers. For more than 75 years, we've established a reputation as a trusted partner in the communities where we live and work, and with our steadfast commitment to help make positive change possible, we're excited to see what we can accomplish during the next 75. Explore our values and culture, and learn why GuideOne might be a great fit for you!

GuideOne is proud to offer a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members.
  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary.
  • Free Basic Life and AD&D, long-term disability and short-term disability insurance.
  • Medical, dental and vision plans to meet your unique healthcare needs.
  • Wellness incentives
  • Generous time off program including; personal, holiday, and volunteer paid time off.
  • Flexible work schedules and hybrid/remote options for eligible positions.
  • Educational assistance program.

#GuideOne