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Manager Recommender Systems Jobs in Florida (NOW HIRING)

Triage-Partners

Systems Engineer

Tampa, FL

Manage escalation of issues to the MSP and ensure timely resolution and follow-up * Maintain ... Identify recurring issues and recommend system improvements to reduce support case volume and ...

Triage Partners, LLC

Systems Engineer

Tampa, FL · On-site

Manage escalation of issues to the MSP and ensure timely resolution and follow-up * Maintain ... Identify recurring issues and recommend system improvements to reduce support case volume and ...

Triage Partners, LLC

Systems Engineer

Tampa, FL

Manage escalation of issues to the MSP and ensure timely resolution and follow-up * Maintain ... Identify recurring issues and recommend system improvements to reduce support case volume and ...

Msmc

Information Systems Manager

Miami Beach, FL

Manager of Information Systems responsible for overseeing application support operations, system ... Keeps abreast of the latest developments in technology and recommends changes in hardware/software ...

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Manager Recommender Systems information

What is the difference between Manager Recommender Systems vs Data Scientist?

AspectManager Recommender SystemsData Scientist
CredentialsAdvanced degree in CS, ML, or related field; experience with recommender algorithmsDegree in CS, Statistics, or related; strong programming and analytical skills
Work EnvironmentLeading teams, overseeing recommender system projects, collaborating with product teamsAnalyzing data, building models, interpreting results across various domains
Industry UsageTech companies, e-commerce, streaming services

While both roles require strong technical skills and data expertise, Manager Recommender Systems focus on leading teams and managing recommender system projects, whereas Data Scientists primarily analyze data and develop models across diverse applications.

What are the key skills and qualifications needed to thrive as a Manager, Recommender Systems, and why are they important?

To thrive as a Manager, Recommender Systems, you need a solid background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience in building recommendation algorithms. Familiarity with programming languages like Python or Scala, machine learning frameworks, and big data platforms such as Spark or Hadoop is essential, along with knowledge of A/B testing and model evaluation techniques. Strong leadership, project management, and cross-functional communication skills distinguish top performers in this role. These skills ensure effective team guidance, robust system development, and alignment of technical solutions with business goals in a fast-evolving digital landscape.

What are Manager Recommender Systems?

A Manager of Recommender Systems is a professional who oversees the development and deployment of algorithms that suggest products, services, or content to users based on their preferences and behavior. They lead teams of data scientists, engineers, and analysts to design, implement, and optimize recommendation engines. Their role involves strategic planning, project management, and ensuring that the recommender systems align with business goals while delivering a personalized user experience.

How does a Manager of Recommender Systems typically collaborate with data scientists and engineers to deliver effective recommendation solutions?

As a Manager of Recommender Systems, you will frequently coordinate cross-functional efforts between data scientists, machine learning engineers, and product teams. Your role involves setting project priorities, facilitating communication to ensure clear understanding of objectives, and removing roadblocks that may impede progress. You’ll also oversee the translation of business requirements into technical solutions, review algorithm performance, and guide the team in iterative model improvements. Regular collaboration ensures that the recommendations delivered align with both user needs and business goals.
What are the most commonly searched types of Recommender Systems jobs in Florida? The most popular types of Recommender Systems jobs in Florida are:
What are popular job titles related to Manager Recommender Systems jobs in Florida? For Manager Recommender Systems jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Manager Recommender Systems jobs in Florida look for? The top searched job categories for Manager Recommender Systems jobs in Florida are:
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Manager Recommender Systems jobs near you
Systems Analyst

Systems Analyst

The Cardiac and Vascular Institute

Gainesville, FL

Full-time

Posted 14 hours ago

Job description

Systems Analyst

The Systems Analyst is responsible for supporting, configuring, maintaining, and optimizing software applications used throughout the organization. This role works closely with clinical, operational, and administrative staff to ensure systems function effectively and support organizational workflows.

The Systems Analyst provides day-to-day application support, troubleshooting, system configuration, user training. They are a key resource in software implementation initiatives and workflow optimization. The ideal candidate possesses strong technical, analytical, and customer service skills and is comfortable supporting users in a healthcare environment.

Essential Duties and Responsibilities:

  • Configure, maintain, and support organizational software applications and system workflows.
  • Provide technical and functional support to end users by troubleshooting software issues and resolving application-related problems.
  • Assist users with workflow questions, system navigation, and operational best practices.
  • Conduct user training for new employees and provide ongoing education for existing staff.
  • Collaborate with departments to analyze workflows and recommend system improvements and optimization opportunities.
  • Participate in software upgrades, implementations, testing, and enhancement projects.
  • Create and maintain system documentation, training materials, and support procedures.
  • Coordinate with software vendors and internal IT staff to resolve escalated issues.
  • Monitor and manage support tickets to ensure timely resolution and follow-up.
  • Assist with user account setup, permissions, and application security functions as appropriate.
  • Support data integrity, reporting validation, and quality assurance activities.
  • Maintain compliance with organizational policies, security standards, and HIPAA requirements.

Qualifications:

  • Associate’s or Bachelor’s degree in Information Technology, Healthcare Administration, Business, or related field preferred.
  • 1–3 years of experience supporting software applications or information systems preferred.
  • Healthcare or medical practice experience preferred.
  • Strong troubleshooting and analytical skills.
  • Excellent communication and customer service abilities.
  • Ability to train users with varying levels of technical proficiency.
  • Strong organizational and multitasking skills.
  • Experience with EHR/EMR, practice management, or healthcare software systems preferred.
  • Familiarity with Microsoft Office applications and general computer systems.
  • Understanding of HIPAA and healthcare privacy standards preferred.
  • Preferred Skills
  • Application configuration and workflow optimization experience.
  • Experience working with software vendors and support teams.
  • Ability to analyze operational processes and recommend improvements.
  • Knowledge of ticketing and support management processes.
  • Strong interpersonal and team collaboration skills.

Preferred Skills

  • Healthcare application configuration and workflow optimization experience.
  • Experience supporting physicians and clinical staff in a multi-site healthcare environment.
  • Familiarity with healthcare reporting, interfaces, and data validation processes.
  • Knowledge of ticketing systems and IT support workflows.
  • Ability to analyze operational inefficiencies and recommend technology-based improvements.
  • Strong interpersonal skills and ability to collaborate across departments.

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