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Remote Computer Science Sports Jobs in Wimauma, FL

VetsEZ

Senior .NET Developer (Remote Opportunity)

Tampa, FL · On-site +1

$51.50 - $68/hr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related ... Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a ...

VetsEZ

Senior .NET Developer (Remote Opportunity)

Tampa, FL · On-site +1

$51.50 - $68/hr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related ... Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a ...

Deloitte

Manager - ServiceNow

Tampa, FL · On-site +1

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

Humana

Cyber Security Engineer

Tampa, FL · On-site +1

Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Information Systems ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Cyber Security Engineer

Tampa, FL · On-site +1

Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Information Systems ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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Remote Computer Science Sports information

What is a remote computer science sports job?

A Remote Computer Science Sports job involves using computer science skills, such as programming, data analysis, and software development, to support sports-related projects or organizations while working from a remote location. This can include roles like sports data analyst, software engineer for sports apps, or developers working on technologies for sports analytics, wearable devices, or e-sports platforms. Professionals in this field often collaborate with coaches, athletes, and sports organizations to enhance performance, analyze statistics, or create innovative solutions for the sports industry. The remote aspect allows for flexibility and the ability to work with teams and clients from around the world.

How do remote computer science professionals contribute to sports organizations, and what unique challenges do they face working offsite?

Remote computer science professionals in the sports industry typically work on projects such as data analysis, software development, and system integration to enhance team performance, fan engagement, or operational efficiency. Working remotely, they rely heavily on digital collaboration tools and clear communication with coaches, analysts, and other stakeholders. A common challenge is staying aligned with fast-paced changes and ensuring real-time data accuracy, especially during live events. However, remote roles offer flexibility and the opportunity to work on innovative tech-driven projects from anywhere, while still making a significant impact on sports outcomes.

What are the key skills and qualifications needed to thrive as a remote computer science sports analyst, and why are they important?

To excel as a Remote Computer Science Sports Analyst, you typically need a strong background in computer science, data analysis, and a solid understanding of sports statistics, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), sports analytics software, and data visualization tools is crucial. Excellent problem-solving skills, attention to detail, and effective remote communication set top performers apart. These capabilities enable accurate analysis, actionable insights, and seamless collaboration with teams or clients in a digital sports environment.
Remote Computer Science Sports jobs near you
Infographic showing various Remote Computer Science Sports job openings in Wimauma, FL as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, and 9% Contract. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution.

Decision Science Analyst

Kobie Marketing

Saint Petersburg, FL • Remote

Full-time

Re-posted 6 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 
 
·         Flexible Time Off to recharge when needed 
·         Nine Company-Wide Holidays 
·         A diverse suite of benefits prioritizing your growth, development, and personal well-being 
 
Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 
 
Travel Requirements:
As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances our culture. While travel requirements vary by role, periodic travel may be required to support business objectives, team collaboration, customer engagements, training, and company events. Candidates should be able and willing to travel as needed to fulfill the responsibilities of the role. 
 

About the team and what we’ll build together
 
We find actionable insights in our clients’ loyalty data that help drive enterprise value. We create real time dashboards to inform internal and external stakeholders. You'll bring your experience with a breadth of marketing techniques, an ease of working with customer data, and an understanding of advanced mathematics and statistical techniques. This position is a client-facing, hands-on role that is responsible for helping shape our clients’ strategic direction for their loyalty initiatives.
How you will make an impact
  • Play a key role as part of a team responsible for delivering data-driven, actionable customer insights that directly contribute to increased sales/profit through our clients’ customer loyalty programs, while collaborating closely with Strategy and Client Services teams to align on client objectives and deliver impactful results. 
  • Build and maintain audience lists to support the CRM team in executing targeted campaigns and achieving engagement goals.
  • Provide actionable recommendations that drive business objectives by drawing out key insights from in-depth, complex data sources based on a thorough understanding of client’s strategy, success criteria, and program objectives
  • Develop data visualizations and narratives that make data and analysis consumable by all levels and expertise of internal and external stakeholders
  • Collaborate with Data Engineering and Business Intelligence teams to design and develop new tools, models, and data sources to support our clients’ business objectives and overcome challenges
  • Proactively create learning agendas, test plans, and solutions that make attribution unassailable and maximize key KPIs such as incremental ROI and LTV
  • Manage workflow, scope and prioritization of client requests and Kobie investments
What you need to be succesful
  • 2-4+ years previous relevant customer analytics and/or marketing/CRM experience
  • Great storyteller with data that can influence senior stakeholders with insights and recommendations
  • Familiarity with data exploration and data visualization tools like Tableau, PowerBI , or Sigma
  • Demonstrated success using customer segmentation techniques such as RFM, cluster analysis and regression modeling to drive targeted marketing
  • Solid project management skills and experience in juggling multiple projects at a time
  • Bachelor’s Degree in Statistics, Marketing, Economics, or Computer Science
  • Python/SQL programming experience preferred
  • Master’s in Statistics, Economics or Applied Mathematics, or MBA, preferred
  • Proficiency in fundamental marketing and loyalty principles, preferred
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.