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Decision Engineer Jobs in Florida (NOW HIRING)

Senior Structural Engineer

Pensacola, FL · On-site

$95K - $129K/yr

This position requires independent decision-making on critical technical matters and a strong ... Structural Engineer (SE) license strongly preferred10+ years of progressive structural engineering ...

Provide decision support inputs for approval of plans, specifications, cost estimates, design calculations, schedules, cost proposals, and engineering studies. * Support technical evaluation elements ...

Provide decision support inputs for approval of plans, specifications, cost estimates, design calculations, schedules, cost proposals, and engineering studies. * Support technical evaluation elements ...

Provide decision support inputs for approval of plans, specifications, cost estimates, design calculations, schedules, cost proposals, and engineering studies. * Support technical evaluation elements ...

Lead Services Engineer

Miami, FL · On-site

$98K - $129K/yr

Strong leadership and decision-making skills. Familiarity with modern development frameworks. Ability to balance technical and business priorities. Senior Microservice Developer (Java) Skills: java ...

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Decision Engineer information

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What cities in Florida are hiring for Decision Engineer jobs?

Cities in Florida with the most Decision Engineer job openings:

Decision Science Analyst

Kobie Marketing

Saint Petersburg, FL

Full-time

Re-posted 5 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.
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