advanced analytics specialist

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

Fidelity Investments

<div>
 
 
 The Role: Data Analyst
 
 
 
 Are you passionate about using your analytical skills to derive insights and drive business strategy and success? Are you curious about being able to formulate the full picture by tying together seemingly disparate data points from multiple sources (e.g., customer attributes and behaviors, transactional history, digital activity, business financials) in to one cohesive story? Are you ready to drive experimentation &amp; strategic insights to optimize every aspect of the customer&rsquo;s experience? If yes, we want you to join our forward-thinking team and make a real-world difference for Fidelity&rsquo;s 40 million individual investors.
 
 
 
 
 
 
 The Expertise and Skills You Bring
 
 
 <ul>
 <li>
 10+ years of experience generating analytical insights to drive strategic business initiatives related to customer acquisition &amp; segmentation, product strategy and market sizing leveraging analytical tools and programming languages such as SQL, Python, R, etc.
 </li>
 <li>
 A cross-functional collaborator who can work across a team with diverse skills and abilities and find success for Fidelity and our customers, delivering insights from data to a broad audience in a simple, clear, and actionable way.
 </li>
 <li>
 Ability to use data to tell a story of customer experience, highlighting both successes and friction points to inform future initiatives and strategies.
 </li>
 <li>
 Natural intellectual curiosity, initiative, and love for learning new skills and capabilities.
 </li>
 <li>
 Experience in designing and developing dashboards &amp; reports of customer-level data using Tableau, Power BI, Qlik etc.
 </li>
 <li>
 Experience with digital analytics, customer sentiment (structured or unstructured) or behavioral data a plus.
 </li>
 <li>
 Bachelor&rsquo;s degree in a quantitative / technical field such as Data or Business Analytics, Economics, Statistics, or Finance. MBA or MS degree a plus
 </li>
 </ul>
 
 
 
 
 
 The Team
 
 
 
 We are looking for an analytics professional to be a creative and collaborative team member, helping develop and lead data and hypothesis driven initiatives. As an indispensable member of Advanced Analytics &amp; Customer Insights, you'll be embedded in Fidelity&rsquo;s product teams and will work with an agile inter-disciplinary team with a diverse set of skills across analytics, engineering, data science, marketing, product development etc., to optimize and personalize the Fidelity experience.
 
 
 
 
 
 
 
 Candidates must be local as this position requires you to work onsite.
 
 
</div>

Data Analyst

Delta Faucet Company

<div>At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.
Your Role at Delta Faucet
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company&rsquo;s growth initiatives. 
Responsibilities
As an Applied Data Scientist within Delta Faucet Company&rsquo;s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.<ul><li>
Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.</li><li>
Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.</li><li>
Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.</li><li>
Build AI and machine learning solutions that are aligned with business needs.</li><li>
Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.</li><li>
Present data-driven recommendations to leaders across the organization, including tactical and C-suite.</li></ul> 
Qualifications<ul><li>
4+ years of experience in data science, advanced analytics, or applied machine learning roles.</li><li>
4+ years of hands-on experience applying statistical methods and analytical modeling to real business problems.</li><li>
4+ years of experience using Python for data analysis, modeling, and experimentation.</li><li>
4+ years of experience writing and refining complex SQL queries against large, structured datasets.</li><li>
3+ years of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.</li><li>
2+ years of experience working in a modern analytics platform (e.g., Databricks, Spark/PySpark, or similar).</li><li>
1+ years of hands-on‑ experience applying generative AI technologies (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.</li><li>
Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.</li></ul>
Preferred Qualifications<ul><li>
2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.</li><li>
1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.</li><li>
1+ years of experience with conjoint analysis or other stated-preference research methods.</li></ul> 
Why Join Us?
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You&rsquo;ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.
Here are some of the benefits we offer for your personal and professional growth:<ul><li>
Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.</li><li>
Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.</li><li>
Learning &amp; Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.</li><li>
Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.</li></ul><h2 class="jobSectionHeader">
Company: Delta Faucet Company</h2>
Full time
Hiring Range: $88,700.00 - $139,260.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Delta Faucet Company (the &ldquo;Company&rdquo;) is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company&rsquo;s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Delta Faucet Company is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English &amp; Spanish 
E-verify Right to Work Poster: English, Spanish
#LI-Remote</div>

Applied Data Scientist

The Home Depot

<div>Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
This role is based on‑site and requires full‑time, five‑day‑a‑week presence in the office. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence, advanced analytics, and/or AI/ML fields.</li><li>
Experience designing, building, and maintaining scalable data pipelines to support ingestion, processing, and transformation from multiple sources (e.g., databases, APIs, streaming).</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient in Data querying (SQL/BQ) and visualization (preferably tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search, or traditional NLP is a plus.</li><li>
Familiarity or hands-on experience in designing, developing, and deploying autonomous AI agents or multi-agent systems using modern LLM orchestration frameworks.</li><li>
Experience with Retrieval-Augmented Generation (RAG) architectures, prompt engineering, and enabling LLMs with tool/function calling capabilities to interact with external APIs and databases.</li><li>
Understanding of evaluating, testing, and monitoring generative AI models and agents in production environments to ensure reliability, safety, and performance.</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist - Pro

Gathern | جاذر إن

<div>
 
 Data Scientist:
 
 
 
 Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.
 
 
 
 Key Accountabilities:
 
 
 
 <ul>
 <li>
 Develop predictive and statistical models to support business objectives
 </li>
 <li>
 Perform data cleaning, transformation, and feature engineering
 </li>
 <li>
 Translate business problems into analytical frameworks
 </li>
 <li>
 Build dashboards and data visualizations for stakeholders
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and insights
 </li>
 <li>
 Collaborate with Product, Marketing, and Engineering teams
 </li>
 <li>
 Monitor model performance and ensure continuous optimization
 
 
 </li>
 </ul>
 
 Core Behavioral Competencies:
 
 
 
 <ul>
 <li>
 Strategic Vision &amp; Agility - Proficient
 </li>
 <li>
 Growth Mindset - Proficient
 </li>
 <li>
 Scalable Execution - Proficient
 </li>
 <li>
 People Leadership &amp; Talent Development - Basic/Proficient
 </li>
 <li>
 Governance &amp; Ethical Conduct - Proficient
 </li>
 <li>
 Customer Centricity - Proficient
 </li>
 <li>
 Innovative Thinking &amp; Digital Fluency - Expert
 </li>
 <li>
 Stakeholder Management - Proficient
 
 
 </li>
 </ul>
 
 Technical Competencies:
 
 
 
 <ul>
 <li>
 Data Modeling &amp; Statistical Analysis - Proficient
 </li>
 <li>
 Machine Learning &amp; Predictive Modeling - Proficient
 </li>
 <li>
 Data Wrangling &amp; Feature Engineering - Proficient
 </li>
 <li>
 Data Visualization &amp; Storytelling - Proficient
 </li>
 <li>
 SQL &amp; Database Querying - Proficient
 </li>
 <li>
 Python / R for Data Science - Proficient
 </li>
 <li>
 Experimentation &amp; A/B Testing - Basic/Proficient
 </li>
 <li>
 Model Deployment &amp; Monitoring - Basic/Proficient
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education
 
 :
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
 
 
 </li>
 </ul>
 
 Experience
 
 :
 
 
 <ul>
 <li>
 4-6 years in data science or advanced analytics roles
 </li>
 <li>
 Experience building and deploying machine learning models
 </li>
 <li>
 Experience working with large structured and unstructured datasets
 </li>
 <li>
 Experience collaborating with cross-functional teams
 </li>
 </ul>
</div>

Data Scientist

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

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

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