<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you’ll build In this role, you will design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex business problems. Embedded within customer engagements and fast-paced delivery teams, you will translate business challenges into scalable analytical and AI solutions that deliver measurable outcomes. Working closely with customers, engineers, and product teams, you will build production-ready machine learning and Generative AI solutions while continuously improving model quality, performance, and business impact. In this role, you will: <ul> <li> Transform business challenges into data-driven solutions by identifying analytical opportunities, exploring data, engineering features, and developing predictive models. </li> </ul> <ul> <li> Design, develop, train, evaluate, and optimize machine learning models and statistical solutions for enterprise business scenarios. </li> </ul> <ul> <li> Apply techniques across exploratory data analysis, forecasting, classification, clustering, recommendation systems, anomaly detection, experimentation, causal analysis, and predictive analytics. </li> </ul> <ul> <li> Develop Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and Agentic AI frameworks. </li> </ul> <ul> <li> Integrate analytical and AI solutions into enterprise applications and business processes, ensuring scalability, robustness, and production readiness. </li> </ul> <ul> <li> Define evaluation metrics, validate model performance, monitor deployed models, and continuously improve solution accuracy and reliability. </li> </ul> <ul> <li> Work closely with customer teams to understand business processes, data landscapes, and operational challenges to co-create impactful AI solutions. </li> </ul> <ul> <li> Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver end-to-end AI products. </li> </ul> <ul> <li> Communicate analytical findings, technical trade-offs, and solution recommendations clearly to engineering teams and customer stakeholders. </li> </ul> <ul> <li> Stay current with the latest advancements in Data Science, Machine Learning, Generative AI, and Agentic AI, applying emerging techniques where appropriate. </li> </ul> What you bring <ul> <li> Strong hands-on expertise in Data Science, Machine Learning, and Applied AI with excellent proficiency in Python and SQL. </li> </ul> <ul> <li> Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar technologies. </li> </ul> <ul> <li> Strong understanding of statistics, probability, hypothesis testing, experimental design, model evaluation, and feature engineering. </li> </ul> <ul> <li> Experience developing predictive models, recommendation systems, forecasting models, anomaly detection, and classification algorithms. </li> </ul> <ul> <li> Hands-on experience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI orchestration frameworks such as LangGraph, LangChain, CrewAI, or AutoGen. </li> </ul> <ul> <li> Experience deploying machine learning and AI solutions using cloud-native platforms and modern MLOps practices. </li> </ul> <ul> <li> Familiarity with SAP data landscapes including SAP S/4HANA, SAP HANA Cloud, SAP BW/4HANA, SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services is an advantage. </li> </ul> <ul> <li> Ability to translate ambiguous business requirements into practical analytical solutions while balancing model accuracy, interpretability, scalability, and business value. </li> </ul> <ul> <li> Strong communication, collaboration, and problem-solving skills with the ability to work effectively in customer-facing environments. </li> </ul> <ul> <li> You proactively leverage AI in your everyday workflows, ensuring high-quality outcomes through thoughtful context design, experimentation, and system integration. </li> </ul> Where you belong You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We bring together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate and lead in their markets. You’ll collaborate with cross-functional teams to solve challenging business problems, build enterprise-grade AI solutions, and deliver measurable customer value. This is a place for curious builders who enjoy learning, experimenting, and applying AI to real-world business challenges. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 457241  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid </div>

Bayt

Senior Data Scientist

Engineering

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Title OT/ICS Vertical Automation Solution Engineer Business ENOC Marketing Job Purpose OT/ICS Vertical Automation Solution Engineer shall help in the design, implementation, and maintaining the industrial automation control systems IACS in addition to help in create and update related electrical & instrument control systems layout within the OT and industrial environment. In this role, you may help develop and program an automation process, modify existing programming when necessary, and help ensure the company is using the safest and most productive system possible for its business requirement. This includes identification of OT Industrial Automation Control Systems needs aligning them with the organization operational objectives and translating them into secure systems designs. While this position require frequent travel to multiple site locations, they also collaborate with cross-functional teams to integrate and optimize overall operational safety and performance this include but not limited to Safety and Cybersecurity incident and alert response plan based on their close work with operation team and IACS operation understanding.   Principal Accountabilities Participate in the OT/ICS automation and industrial control systems design analysis against the organization and business requirements and objectives, and identifying the gaps weaknesses, and flaws accordingly. Participate in Controls System Engineering activities with business operation & technical teams including but not limited to secure design specification, system process optimization, system requirements analysis, material selection, etc. Partner with the department's cross-functional team in coordinating with business teams to identify and develop secure design requirements across different OT and IACS. Develop and assure safe and site-specific procedures are being followed during automation project lifecycle from the design, implementation, and maintenance & operational activities, and all measures taken are appropriate and effective. Analyze, compare, and select equipment best suited for various system applications, process, and operations. Support system installation, startup and validation of electrical systems, process control systems and safety instrumented systems. Provide engineering expertise and technical guidance to site maintenance team to perform repairs, design changes, or other corrections as a result of troubleshooting or performance evaluation. Responsible for oversight and recommendation of control system critical spare parts and spare parts management. Identify continuous improvement activities relative to plant automation control systems leveraging new technologies. Support MS OS system troubleshooting, ICS component installation & programming, system maintenance, upgrades/retrofit existing systems, and Process Safety Management PSM efforts. Work with the OT/IACS process business and the associated OT/IACS vendor during troubleshooting and AMC activities. Partner with the department's team member (Network, System, Automation) to address the raised alerts and incidents with the OT/ICS environment and advise on the mitigation plan or work around based on the criticality ensuring efficient root cause analysis is provided and avoiding reoccurrence of alerts and incidents. Participate and maintain updated asset inventory for IACS. Participate in the site safety and cybersecurity risk assessments or gap assessments carried out by internal or external auditor. Good knowledge in IACS systems vulnerability handling and system hardening. Understand and carry out ICS packet analysis for the plant network and translate it into a format that's human-readable for further troubleshooting. Participate in the patch management of the industrial automation control systems. Maintain the program, system images backups for automation control systems. Provide support on-site start-up and shut-down activities in addition to debugging for both hardware and software. Generate reports and dashboards to provide insights into system operation, issues and performance. Ensure site specifications, standards and compliance to expectations are met and that good engineering practices are followed.   Additional Principal Accountabilities Experience Bachelor's degree in a technical field, e.g., (Industrial Control Systems Engineering, Computer Engineering, Electrical Engineering, Mechatronics Engineering, or another related technical field with appropriate experience). Minimum 5+ years of experience in industrial automation control systems preferably in the Oil & Gas, Lubricants, Aviation and Critical Infrastructure. Demonstrated years of experience in Industrial Automation Control Systems within global organization, or with IACS OEM and well-known vendors for (SCADA, DCS, SIS, HVAC, RTU, PLC) while having OT/IACS cybersecurity skills is highly preferred. Good Knowledge of Automation process and safety instrumented system industries standards such as IEC61131, SIL and FS standards IEC61508/IEC61511, ATEX/ANSI Directive and ISA standards, while having OT/ICS cybersecurity standard IEC62443 knowledge is highly preferred. Good knowledge of instrument and industrial communication protocols used such as: (Serial Protocols, HART, TCP/IP, UDP, DNP3, Modbus, IEC 61850, S7, OPC, OPC UA, EtherNet/lP, BACnet, Profibus and PROFINET) Certifications such as Network+, Security+ is preferred. One or more of the following certifications is preferred - ISA CAP, ISA/IEC62443 fundamentals, OEMs Expert/Specialist IACS Certificate. Familiarity with Motor Controls, VFD's, network/Ethernet controls Ability to read prints, AutoCAD, interpret and modify electrical & instrument schematics. Working with system backup and recovery solutions like Acronis, Veritas, etc. Working with OEM recommended Endpoint Protection Solution like Trellix, Symantec, etc. Experience in MS OS system troubleshooting and Microsoft Word, Excel, and SQL. Have a hand on working with legacy or recent OS i.e. Windows XP, Windows Server 2012, Windows 7 etc. in addition to Embedded OS. Experience with physical cabling for network communications and control system input/output modules. Possess good verbal and written communication skills. Strong problem-solving and analytical skills. Ability to maintain a good working relationship with the internal and external customers, vendors, and department's team members.   </div>

0 to 0 years Bayt

Operations Excellence Specialist

On-site - UAE 3 July 2026

Human Resources

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Who We Are At JINGDONG Logistics (JD Logistics), part of JD.com, we are a leading technology-driven supply chain and logistics solutions provider under JD.com. Built on deep expertise in automation, smart fulfilment, and data intelligence, we operate end-to-end logistics services that empower businesses and enhance customer experience. Our integrated networks span warehouse management, line-haul transportation, last-mile delivery, bulky items logistics, cold chain, and cross-border operations, ensuring speed, reliability, and precision at every stage. Our Global Reach JINGDONG Logistics has developed one of the most extensive logistics infrastructures in the world, managing more than 3,600 warehouses with over 34 million square meters of space. Our Global Smart Supply Chain Network combines highly automated warehousing with robust international transportation solutions, enabling seamless cross-border movement. Today, we operate 130+ bonded, direct mail, and overseas warehouses across 23 countries and regions, supported by our global brands, JoyLogistics and JoyExpress, as we continue scaling JD.com’s international logistics footprint. Learn more about who we are and what we do: https://www.jingdonglogistics.com/ What We Offer Joining JD Logistics means helping shape the future of global supply chain and logistics. You’ll work with smart warehousing, autonomous delivery, and innovative technology that keeps goods moving worldwide. With a competitive salary, great locations, and a supportive, people-first culture, you’ll have the space to take on meaningful challenges, grow your skills, and make a real impact in a fast-evolving industry. About The Team You’ll be joining the JINGDONG Logistics team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. Key Responsibilities<ul><li>Own the labour planning strategy across all UAE warehouse operations, ensuring optimal deployment of manpower to meet operational demand while minimizing cost.</li><li>Develop and continuously enhance AI-driven labour planning tools to optimize workforce allocation, scheduling, productivity, and operational performance.</li><li>Design and maintain manpower planning models capable of managing complex warehouse operations consisting of 30+ operational roles and multiple cross-training requirements.</li><li>Analyse operational performance to identify bottlenecks, capacity constraints, labour waste, idle hours, and productivity improvement opportunities.</li><li>Develop strategies to balance labour capacity across multiple warehouse locations while maintaining service levels and minimizing overtime and operational cost.</li><li>Create forecasting models based on business demand, seasonality, order profiles, and operational trends to support accurate workforce planning.</li><li>Establish labour standards and productivity benchmarks, ensuring manpower plans are aligned with operational targets and customer requirements.</li><li>Develop dashboards, reporting tools, and real-time decision-support models that provide visibility into labour utilisation, productivity, capacity, and operational performance.</li><li>Lead continuous improvement initiatives focused on labour optimisation, process efficiency, cost reduction, and operational excellence using Lean methodologies.</li><li>Partner closely with Operations, Finance, HR, and Engineering teams to develop long-term workforce strategies, hiring plans, and operational improvement roadmaps.</li><li>Lead strategic projects focused on automation, AI adoption, and digital transformation of workforce planning processes.</li><li>Provide regular insights and recommendations to senior leadership through data analysis, scenario modelling, and business case development to support strategic decision-making.</li></ul> Job Requirements: <ul><li>Bachelor’s degree in Industrial Engineering, Supply Chain, Operations Research, Engineering, Computer Science, Business Analytics, Business, or a related field; Master’s degree is a plus.</li><li>5–8+ years of experience in workforce planning, warehouse operations, industrial engineering, operations excellence, or supply chain strategy within logistics, e-commerce, or contract logistics environments.</li><li>Proven experience developing and implementing labour planning strategies for complex warehouse operations, including multi-site workforce allocation and productivity optimization.</li><li>Demonstrated experience planning manpower across multiple facilities while balancing operational demand, labour cost, service levels, and productivity.</li><li>Strong understanding of warehouse operations, including inbound, outbound, inventory management, replenishment, value-added services, and fulfilment processes.</li><li>Proven experience managing complex labour structures involving multiple operational roles, cross-training requirements, certification levels, and workforce flexibility.</li><li>Strong knowledge of Lean principles and continuous improvement methodologies (Green Belt or above preferred), with experience in waste elimination, bottleneck analysis, process optimization, capacity balancing, and productivity improvement.</li><li>Demonstrated ability to identify operational bottlenecks, labour inefficiencies, idle capacity, and waste hours through data-driven analysis and implement sustainable improvement initiatives.</li><li>Experience developing labour standards, forecasting models, staffing algorithms, and manpower planning frameworks to support operational decision-making.</li><li>Proven experience leveraging Artificial Intelligence (AI), advanced analytics, or machine learning to improve workforce planning, forecasting, scheduling, or operational decision-making.</li><li>Strong capability in developing analytical and decision-support tools using Python, SQL, Power BI, Microsoft Excel (advanced modelling), VBA, or similar technologies.</li><li>Excellent analytical and problem-solving skills with the ability to structure complex operational challenges and translate data into practical, scalable solutions.</li><li>Strong understanding of capacity planning, scenario modelling, simulation techniques, and workforce optimization methodologies.</li><li>Experience working with operational KPIs including productivity (UPPH), labour utilisation, throughput, cost per unit, SLA adherence, and operational efficiency.</li><li>Proven project and program management experience, with the ability to lead multiple cross-functional initiatives simultaneously.</li><li>Excellent stakeholder management and collaboration skills, with experience partnering across Operations, Finance, HR, Engineering, Commercial, and Technology teams.</li><li>Strong communication and presentation skills, with the ability to present complex analysis and influence senior leadership.</li><li>Fluent in English (required); proficiency in Chinese is a strong advantage.</li><li>Comfortable working in a fast-paced, high-growth environment with a high degree of ownership and accountability.</li></ul> Nice-to-Have Qualifications <ul><li>Experience developing AI-powered workforce planning, scheduling, or labour optimisation solutions.</li><li>Experience with Operations Research techniques such as linear programming, optimisation algorithms, or simulation modelling.</li><li>Experience with Warehouse Management Systems (WMS), Labour Management Systems (LMS), warehouse automation, or robotics.</li><li>Experience within e-commerce, third-party logistics (3PL), or high-volume fulfilment operations.</li><li>Experience managing workforce planning across multiple countries or regions.</li><li>Lean Six Sigma Black Belt certification.</li><li>Familiarity with Generative AI technologies and their application within warehouse operations, process automation, and decision support.</li></ul> At JINGDONG Logistics, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic. Ready to apply? Take the next step in your career, apply now and explore the opportunities we have to offer. </div>

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