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Computer Science Marketing Jobs in Florida (NOW HIRING)

Email Developer

Orlando, FL · On-site

$74K/yr

Bachelor's Degree in Graphic Design, Computer Science, Marketing, or a related field (equivalent professional experience accepted). • Core Requirement: Expert-level AMPscript knowledge is a must ...

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Computer Science Marketing information

See Florida salary details

$10

$36

$55

How much do computer science marketing jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for computer science marketing in Florida is $36.27, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $46.68 per hour, depending on experience, location, and employer.

Is computer science dead due to AI?

Computer science professionals continue to be in high demand as AI advances, requiring skills in algorithms, programming, and data analysis. AI creates new opportunities for software development, research, and implementation, making computer science a vital and evolving field.

Is IT worth getting an IT degree in 2026?

For a Computer Science Marketing professional, obtaining an IT degree in 2026 can enhance technical understanding and credibility, supporting roles that involve promoting technology products or services. However, practical experience, certifications, and skills in areas like cybersecurity, programming, or data analysis are also highly valued in the industry. Combining a degree with relevant skills can improve job prospects and career growth in tech-related marketing roles.

Can you work in marketing with a computer science degree?

Computer Science Marketing roles often require technical skills such as data analysis, programming, and understanding digital tools, making a computer science degree highly relevant. Many marketing positions in tech companies or digital marketing agencies value candidates with a strong technical background combined with communication skills. Certifications in marketing platforms or analytics can further enhance job prospects in this field.

Can I make 200K with a computer science degree?

Computer science professionals can earn $200,000 or more annually, especially with experience in high-demand areas like software engineering, data science, or cybersecurity, and often in senior or specialized roles. Achieving this salary typically requires advanced skills, certifications, and working in competitive markets or companies with high compensation packages.

What is a Computer Science Marketing job?

A Computer Science Marketing job combines technical knowledge with marketing strategies to promote tech-related products and services. Professionals in this role use data analytics, SEO, digital advertising, and AI-driven tools to optimize campaigns and drive engagement. They often work with developers, product managers, and sales teams to translate complex technical concepts into marketable content. This role requires both marketing expertise and an understanding of computer science principles to effectively target technical audiences.

What are some typical challenges faced by professionals in Computer Science Marketing roles?

Professionals in Computer Science Marketing often encounter the challenge of translating complex technical features into clear, compelling messaging that resonates with a non-technical audience. They may also need to stay agile in response to rapid changes in both technology and digital marketing trends. Collaboration with product development, engineering, and sales teams is common, requiring strong interpersonal skills to align marketing campaigns with technical capabilities. Successfully navigating these challenges can boost product adoption and foster professional growth in the role.

What are the key skills and qualifications needed to thrive in the Computer Science Marketing position, and why are they important?

Excelling in Computer Science Marketing requires a unique blend of digital marketing expertise, a strong foundation in computer science, and experience with data-driven decision-making. Familiarity with analytics platforms, marketing automation tools, and knowledge of programming or web technologies such as HTML, CSS, or Python are often expected, and certifications like Google Analytics can be advantageous. Strong communication, creativity, adaptability, and problem-solving abilities set top performers apart. These skills enable professionals to effectively bridge the gap between technical products and successful marketing strategies, ensuring products are accurately represented and reach the right audiences.

What cities in Florida are hiring for Computer Science Marketing jobs? Cities in Florida with the most Computer Science Marketing job openings:
Decision Science Analyst

Decision Science Analyst

Kobie Marketing

Saint Petersburg, FL • On-site, Remote

Full-time

Posted 29 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. 


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. 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.
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