predictive analytics specialist

American Modern Insurance Group

<div><div>Location Amelia, United States Job type Full-Time Work mode Remote Job level Professional Job ID 12724 Company American Modern Insurance Group Employment type Regular Area of expertise Data, BI &amp; Analytics</div></div>
 <div>All locations Amelia, United States; Akron, United States; Carmel, United States; Cincinnati, United States; Cleveland, United States; Columbia, United States; Dayton, United States; Durham, United States; Indianapolis, United States;
<div><div><div>Drive the future of AI‑powered decision‑making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.</div></div>
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property &ndash; such as manufactured homes and specialty dwellings &ndash; and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can&rsquo;t. We write admitted products in all 50 states and have a premium volume of $2.2 billion.
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re&rsquo;s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.
Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting-edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision-making across domains in the organization. You will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members. We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing and deploying complex models, and driving business outcomes through data-driven decision-making.
Purpose:
Use data and statistical analysis to drive business decisions and target improved results across various functional areas.
Roles &amp; Responsibilities:<ul><li>
Execute AI/ML strategy, with the ability to contribute to strategy development as well.</li><li>
Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes.</li><li>
Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks.</li><li>
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.</li><li>
Work closely with data engineering teams to design and implement data pipelines and architectures.</li><li>
Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.</li><li>
Participate in the development of predictive analytics and modeling presentations and present results/topics to stakeholders and management as requested.</li><li>
Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.</li><li>
Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.</li><li>
Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.</li><li>
Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance.</li><li>
Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.</li><li>
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders&rsquo; requests and hidden issues and explain possible solutions in their language.</li><li>
Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.</li><li>
Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.</li></ul>
Required Technical Skills<ul><li>
Expert-level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit-learn.</li><li>
Deep understanding of and experience building AI and machine learning models, as well as experience deploying GenAI solutions.</li><li>
Experience with big data platforms is highly desirable.</li><li>
Familiarity with cloud-based data platforms, such as AWS or Azure, is a plus.</li><li>
Strong understanding of data structures, algorithms, and software design patterns.</li><li>
Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.</li><li>
Strong commitment to testing, validation, and continuous improvement of models and workflows.</li><li>
Experience with MLflow, including model management, versioning, and deployment.</li></ul>
Skills / Knowledge / Experience:<ul><li>
Develop and project manage modeling projects and statistical analyses.</li><li>
Effectively communicate results to business partners and help drive business decisions.</li><li>
Participate in creation and discussion of best practices and propose new techniques.</li><li>
Mentor junior team members.</li><li>
Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry.</li><li>
Please note, this is not a managerial role but has the potential to develop into one over time.</li></ul>
Education, Certifications &amp; Designations:<ul><li>
Master&rsquo;s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major</li></ul>
We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:<ul><li>
Two options for your health insurance plan (PPO or High Deductible)</li><li>
Prescription drug coverage (included in your health insurance plan)</li><li>
Vision and dental insurance plans</li><li>
Short and Long Term Disability coverage</li><li>
Supplemental Life and AD&amp;D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)</li><li>
Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)</li></ul>
In addition to the above insurance offerings, our employees also enjoy:<ul><li>
A robust 401k plan with up to a 5% employer match</li><li>
A retirement savings plan that is 100% company funded</li><li>
Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries</li><li>
Eligibility to receive a yearly bonus as a Munich Re employee</li><li>
A variety of health and wellness programs provided at no cost</li><li>
A hybrid environment that gives you a choice in where and how you get work done</li><li>
A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop</li><li>
An on-site complimentary workout facility as well as walking trails on campus grounds</li><li>
On-site wellness center complete with nurse practitioner</li><li>
Financial assistance for adoptions and infertility treatment</li><li>
Paid time off for eligible family care needs</li><li>
Tuition assistance and educational achievement bonuses</li><li>
Free parking</li><li>
A corporate matching gifts program that further enhances your charitable donation</li><li>
Paid time off to volunteer in your community</li></ul>
At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Applicants requiring employer sponsorship of a visa will not be considered for this position.
Salary range: $150-170K base
#LI-SF1</div></div>
 <div><div><div><h2 class="jobSectionHeader">Your Benefits</h2>
With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.
</div><div><div>Competitive Salary
We provide fair and competitive compensation that reflects your performance and commitment.
</div><div>Company performance-based Incentives
In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.
</div><div>Recognition and Special Rewards
We recognise outstanding individual contributions through a variety of targeted rewards and incentives.
</div><div>Retirement Planning
We support your long-term financial wellbeing with retirement solutions aligned with local regulations.
</div><div>Inclusive Workplace Culture
We foster a respectful, inclusive, and values-driven environment.
</div><div>Learning &amp; Development
We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.
</div><div>Work-Life-Balance
Supporting your ability to balance family, leisure, and your career.
</div><div>Health &amp; Wellbeing
We support your physical and mental health through a range of programs and activities in each location.</div></div></div></div>

AI Data Scientist

MA'ADEN

<div>Job Purpose
<ul><li><div>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow 
</div></li></ul>Key Accountabilities:
1. Lead End-to-End Data Science Delivery
<ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement. 
</div></li></ul><div></div>2. Translate Business Needs into AI/Analytics Solutions
<ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams. 
</div></li></ul>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
<ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements 
<li>
</li></ul>4. Responsible AI, Quality &amp; Governance
<ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments 
<li>
</li></ul>5. Stakeholder Management &amp; Value Realization
<ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit. 
<li>
</li></ul>Minimum Qualification, Experience and Core Competencies:
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields. 
</li></ul>Minimum Experience: 
 
 
<ul><li><div>Minimum Experience:
</div></li><li><div>8 &ndash; 10 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams. 
</div></li><li> 
Machine Learning &amp; Advanced Analytics
<ul><li>Hands-on experience developing and deploying machine learning models , including time-series forecasting, predictive modeling, and optimization use cases
</li><li>Strong understanding of model performance, validation, stability, and business impact
</li></ul></li><li>Generative AI &amp; AI Agents
<ul><li>Practical experience with Generative AI solutions , including copilots, intelligent automation, and agent-based workflows
</li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
Good to Have Capabilities
</li></ul></li><li>Data Engineering (IT + OT)
<ul><li>Experience designing and maintaining data pipelines across IT and OT environments
</li><li>Exposure to sensor data, streaming / real-time data processing , and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li>MLOps / AgentOps
<ul><li>Experience in model deployment and lifecycle management , including:
<ul><li>Transition from model development to production and scale
</li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
 
 
Preferred Experience &amp; Platforms
</li></ul></li><li>Cloud &amp; Analytics Platforms
<ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li>Microsoft Azure Data Platform
</li><li>Databricks AI Platform
</li><li>Microsoft AI Foundry / Microsoft AI Factory
</li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions 
<li>
</li></ul></li></ul><div></div>Core Competencies:
<ul><li>Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
</li><li>Adoption &amp; Business Impact: Value realized, user adoption, integration success.
</li><li>Delivery Velocity: Timeliness of development cycles and deployment readiness.
</li><li>Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.</li></ul></div>

Principal Specialist, Data Science & Analytics

Elemental Day Surgical Center

Job Title: AI Specialist &ndash; Healthcare Location: DubaiAbout Us: We are a modern Day Surgical Center committed to delivering high-quality, efficient, and patient-centered care. As part of our innovation strategy, we are integrating advanced artificial intelligence solutions to enhance clinical outcomes, streamline operations, and improve patient experience.Role Overview: We are seeking a skilled AI Specialist to design, implement, and manage AI-driven solutions tailored to a surgical care environment. The ideal candidate will bridge healthcare operations and advanced technologies, ensuring compliance, accuracy, and real-world impact.He will implement AI tools into the company&rsquo;s business processes in order to automate operations, improve efficiency, enhance customer service, strengthen marketing and analytics, and optimize internal workflows.Key Responsibilities:<ul><li>Develop and deploy AI models for clinical and operational use (e.g., scheduling optimization, patient triage, predictive analytics)</li><li>Collaborate with medical, administrative, and IT teams to identify AI opportunities</li><li>Integrate AI solutions with existing healthcare systems (EMR/EHR)</li><li>Ensure compliance with healthcare regulations and data privacy standards</li><li>Monitor and continuously improve AI system performance</li><li>Provide training and support to staff on AI tools</li><li>Stay updated on emerging AI trends in healthcare</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field</li><li>Proven experience in AI/ML development and deployment</li><li>Experience in healthcare or clinical environments preferred</li><li>Strong programming skills (Python, TensorFlow, PyTorch, etc.)</li><li>Knowledge of healthcare data standards and compliance (HIPAA or equivalent)</li><li>Excellent problem-solving and communication skills</li></ul>Preferred Qualifications:<ul><li>Experience with medical imaging, NLP in healthcare, or predictive analytics</li><li>Familiarity with surgical workflows or outpatient care systems</li><li>Understanding of data security and ethical AI practices</li><li>Russian Speaking candidate is added advantage.</li></ul>What We Offer:<ul><li>Competitive salary and benefits</li><li>Opportunity to work at the forefront of healthcare innovation</li><li>Collaborative and supportive work environment</li><li>Professional development and training opportunities</li></ul>How to Apply: Please submit your CV and a brief cover letter outlining your experience and interest in the role to hr@elemental.ae.Job Type: PermanentWork Location: In person

AI Specialist

ZabonEx

ZabonEx is an AI-driven predictive analytics startup and headquartered in Muscat, Oman. The company provides a B2B SaaS platform that helps food and beverage (F&amp;B) producers, distributors, and retailers forecast demand at a highly granular (customer/store) level, enabling them to optimize inventory, reduce waste, and improve profitability.Startup Marketing Specialist - Job DescriptionRole summaryA Startup Marketing Specialist is responsible for growing the business fast - not just doing marketing tasks.Marketing + Sales + Growth + StrategyMain responsibilitiesGrowth &amp; Lead Generation<ul><li>Generate leads (especially B2B clients)</li><li>Run outbound campaigns (LinkedIn, email, cold outreach)</li><li>Build customer acquisition strategies</li></ul>Digital Marketing<ul><li>Manage:</li><li>Social media (LinkedIn, Instagram)</li><li>Paid ads (Google, Meta)</li><li>Email marketing campaigns</li><li>Improve website traffic &amp; conversions</li></ul>Content &amp; Branding<ul><li>Create:</li><li>Posts, blogs, case studies</li><li>Product messaging (very important in startups)</li><li>Position the company in the market</li></ul>Data &amp; Analytics<ul><li>Track KPIs:</li><li>Leads</li><li>Conversion rates</li><li>ROI on campaigns</li><li>Optimize campaigns based on data</li></ul>Sales Support (VERY IMPORTANT)<ul><li>Work closely with sales team</li><li>Help close deals</li><li>Prepare presentations &amp; pitches</li></ul>نوع الوظيفة: دوام كاملالراتب المدفوع: ﷼١٬٥٥٠٫٠٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Startup Marketing Specialist

Web Compostela Energy

Digital Oilfield Specialist Web Compostela Energy &ndash; Salalah, Oman (Salalah Tower B) Salary: OMR 2,700 per monthJob Overview: Web Compostela Energy is seeking a skilled Digital Oilfield Specialist to support the integration of digital technologies into oilfield operations. This role focuses on leveraging data, automation, and advanced analytics to improve operational efficiency, optimize production, and enable real-time decision-making.Key Responsibilities:<ul><li>Implement and support digital oilfield solutions, including IoT, SCADA, and real-time monitoring systems</li><li>Analyze production and operational data to identify optimization opportunities</li><li>Collaborate with engineering, IT, and operations teams to integrate digital tools and platforms</li><li>Develop dashboards and visualization tools for performance monitoring and reporting</li><li>Support predictive maintenance initiatives using data analytics and machine learning</li><li>Ensure data integrity, cybersecurity compliance, and system reliability</li><li>Troubleshoot digital system issues and provide technical support to field teams</li><li>Stay updated on emerging digital technologies in the oil &amp; gas industry</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Petroleum Engineering, Computer Science, or a related field</li><li>Minimum of 4&ndash;7 years of experience in digital oilfield, data analytics, or oil &amp; gas IT systems</li><li>Experience with SCADA systems, IoT platforms, and data visualization tools (e.g., Power BI, Tableau)</li><li>Proficiency in programming languages such as Python, SQL, or similar</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and cross-functional collaboration abilities</li></ul>Benefits:<ul><li>Competitive salary and benefits package</li><li>Opportunity to work with advanced digital oilfield technologies</li><li>Career growth in a technology-driven environment</li></ul>نوع الوظيفة: دائمالراتب المدفوع: ﷼٠٫٠٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Digital Oilfield Specialist

Juhayna Food Industries

<div>
 
 
 Job Overview
 
 
 
 
 
 
 The Data Analytics &amp; AI Manager is responsible for transforming data into advanced insights, predictive intelligence, and AI-driven solutions that support strategic and operational decision making across the organization.
 
 
 
 
 
 
 Strategic Management
 
 
 
 
 
 <ul>
 <li>
 Lead Advanced analytics initiatives that support business performance and strategic goals.
 </li>
 <li>
 Identify opportunities where predictive analytics and AI can improve efficiency, revenue, or cost control.
 </li>
 <li>
 Gather and translate business requirements into analytical and AI- Driven solutions.
 </li>
 <li>
 Analyze internal and external factors that impact business performance.
 </li>
 </ul>
 
 
 
 
 
 Analytics &amp; AI Enablement
 
 
 
 
 
 <ul>
 <li>
 Develop and enhance advanced analytics solutions, including forecasting and predictive models.
 </li>
 <li>
 partner with data science teams to deploy AI/ ML use cases that solve real business challenges.
 </li>
 <li>
 support automation of insights and reporting using intelligent analytics tools
 </li>
 <li>
 Ensure AI and analytics outputs are understandable, reliable, and aligned with business.
 </li>
 </ul>
 
 
 
 
 
 Reporting &amp; Insights
 
 
 
 
 
 <ul>
 <li>
 Oversee Development of dashboards and visualization that support business monitoring.
 </li>
 <li>
 Ensure KPIs and performance indicators are clearly defined and consistently tracked.
 </li>
 <li>
 Deliver monthly performance analysis reports with insights and improvement recommendations.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Collaboration
 
 
 
 
 
 <ul>
 <li>
 Act as a bridge between business teams, BI, and data science functions.
 </li>
 <li>
 Present insights and AI- Driven findings in a clear and business friendly manner.
 </li>
 <li>
 support leadership with scenario analysis and data backed recommendations.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 University degree in computer science, data analytics, information systems, business intelligence, or a related field.
 </li>
 <li>
 8-10 years of experience in analytics, business intelligence, or data roles.
 </li>
 <li>
 Experience working with analytics, predictive modeling, or AI initiatives.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Technical skills
 
 
 
 
 
 <ul>
 <li>
 Experience with business intelligence tools such as Power BI, SAC.
 </li>
 <li>
 Good knowledge of SQL and data analysis tools.
 </li>
 <li>
 Exposure to analytics and AI tools.
 </li>
 <li>
 Experience working with data models and structured dataset's
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 
 
 
 <ul>
 <li>
 Experience in FMCG, Food &amp; Beverages industry is a plus.
 </li>
 <li>
 Experience supporting forecasting, supply chain, or sales analytics initiatives.
 </li>
 <li>
 Experience working in Agile or project-based data environments.
 </li>
 </ul>
</div>

Manager - Data & Analytics

Hoss Care

<div>
 
 Company Description
 
 
 
 Hoss Care leverages an AI-powered remote care platform to deliver continuous, HIPAA-compliant monitoring and chronic care management. Trusted by leading health systems, Hoss Care integrates FDA-approved devices, predictive analytics, and automated care coordination. The platform is designed to enhance clinical outcomes, improve medication adherence, and reduce hospitalizations. Hoss Care is committed to transforming healthcare delivery and supporting providers in delivering exceptional patient care.
 
 
 
 Role Description
 
 
 
 This is a full-time, on-site Nurse position located in Miami, FL. The Nurse will provide direct patient care, coordinate and monitor treatment plans, and ensure compliance with healthcare protocols. The role includes utilizing patient data and predictive analytics tools to assess and respond to health needs, collaborating with interdisciplinary teams, educating patients on medication adherence, and supporting chronic disease management. Exceptional communication and a compassionate approach to patient care are essential.
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proficiency in patient care, including administering treatments, managing medications, and monitoring patient status
 </li>
 <li>
 Strong skills in care coordination, chronic disease management, and patient education
 </li>
 <li>
 Experience using digital health tools, electronic health records (EHR), and familiarity with predictive analytics
 </li>
 <li>
 Excellent interpersonal, communication, and collaborative skills for working within interdisciplinary teams
 </li>
 <li>
 Current Registered Nurse (RN) license in Florida
 </li>
 <li>
 BLS/ACLS certification preferred
 </li>
 <li>
 Experience in chronic care, remote patient monitoring, or telehealth services is a plus
 </li>
 </ul>
</div>

Nurse

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