Python Developer Jobs in Saudi

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a highly talented Software Engineer II - Backend t o join our growing team in Riyadh. If you are looking for a place where you can gain hands-on experience and create a direct impact, then this may be the place for you!</p><p>The ideal candidate will collaborate with the Product Team in order to understand product requirements and provide technical expertise for all products as required, and to assist in analyzing, designing, testing, and structuring the required solutions to deliver a high-quality working software based on the business needs and standards.</p><p><strong>You Will Be Working On</strong></p><ul><li><strong>Software Development</strong><ul><li>Keep abreast of latest software development methodologies in order to be able to provide best-in-class software solutions</li><li>Analyze product requirements in order to understand engineering requirements, estimate efforts and provide the required solutions in collaboration with Product Team</li><li>Assist in building development components in order to transform the requirements into actual working software accurately</li><li>Document all coding steps in order to ensure comprehensibility and to facilitate future modifications and maintenance</li><li>Investigate and resolve issues and bugs</li><li>Collaborate with other colleagues in order to assist each other in code reviews and deliver code review reports accordingly</li><li>Perform functional and module testing in order to ensure functionality of delivered solutions</li><li>Assist in user trials and acceptance testing</li></ul></li><li><strong>Governance and Resilience</strong><ul><li>Follow all relevant policies, procedures, and processes in order for the daily work to be carried out in a controlled and consistent manner</li><li>Contribute to the identification of opportunities for continuous improvement of processes, practices, work processes, cost effectiveness, and productivity enhancement</li><li>Promote to other employees within the organization the implementation and adherence to policies, procedures, processes, and instructions</li></ul></li><li><strong>Daily Operations</strong><ul><li>Follow daily operations relating to the job to ensure work continuity</li><li>Contribute to preparing timely and accurate reports that concern the line of work to meet the requirements, objectives, and standards</li><li>Ensure the satisfaction of both internal and external customers by addressing their needs in a courteous and timely manner</li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4-5 years of experience in backend development using GoLang, Ruby on Rails (RoR), Java, or Python</li><li>Bachelor Degree in a relevant field is required</li><li>Master s degree in a relevant field is preferred</li><li>Knowledge &amp; understanding of software architecture, including Domain-Driven Design (DDD), microservices, Kubernetes, and containerization</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a highly talented Software Engineer II - Backend t o join our growing team in Riyadh. If you are looking for a place where you can gain hands-on experience and create a direct impact, then this may be the place for you! The ideal candidate will collaborate with the Product Team in order to understand product requirements and provide technical expertise for all products as required, and to assist in analyzing, designing, testing, and structuring the required solutions to deliver a high-quality working software based on the business needs and standards.</p><p>You Will Be Working On</p><ul><li>Software Development</li><li>Keep abreast of latest software development methodologies in order to be able to provide best-in-class software solutions</li><li>Analyze product requirements in order to understand engineering requirements, estimate efforts and provide the required solutions in collaboration with Product Team</li><li>Assist in building development components in order to transform the requirements into actual working software accurately</li><li>Document all coding steps in order to ensure comprehensibility and to facilitate future modifications and maintenance</li><li>Investigate and resolve issues and bugs</li><li>Collaborate with other colleagues in order to assist each other in code reviews and deliver code review reports accordingly</li><li>Perform functional and module testing in order to ensure functionality of delivered solutions</li><li>Assist in user trials and acceptance testing</li><li>Governance and Resilience</li><li>Follow all relevant policies, procedures, and processes in order for the daily work to be carried out in a controlled and consistent manner</li><li>Contribute to the identification of opportunities for continuous improvement of processes, practices, work processes, cost effectiveness, and productivity enhancement</li><li>Promote to other employees within the organization the implementation and adherence to policies, procedures, processes, and instructions</li><li>Daily Operations</li><li>Follow daily operations relating to the job to ensure work continuity</li><li>Contribute to preparing timely and accurate reports that concern the line of work to meet the requirements, objectives, and standards</li><li>Ensure the satisfaction of both internal and external customers by addressing their needs in a courteous and timely manner</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4-5 years of experience in backend development using GoLang, Ruby on Rails (RoR), Java, or Python</li><li>Bachelor Degree in a relevant field is required</li><li>Master's degree in a relevant field is preferred</li><li>Knowledge &amp; understanding of software architecture, including Domain-Driven Design (DDD), microservices, Kubernetes, and containerization</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Purpose To develop and administrate data and analytics products, dashboard and reports while incubating analytics best practice across the organization units in order to deliver on SANS strategic objectives and aspirations within set KPI s, agreed budgets and adopted policies and procedures</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum or no prior experience is required. Proficiency in writing SQL and T-SQL for development and query purposes. Experience using reporting solutions established on EDW or Data lakes or distributed systems based back-end solutions. Proficient English based business communication and presentation Skills is a must Experience using data hosted on SQL and NoSQL bases solutions, including Postgres, Cassandra, MongoDB and ArangoDB. Proficiency in development on Power BI platform, including solid experience in DAX based query and measures development. Hands-on experience on power BI premium capacity-based deployment management Development of reporting solutions on Microsoft cloud and on-prem reporting stack, in addition to experience in performance tuning &amp; optimizing complex queries; includes, Microsoft reporting server (SSRS), Microsoft integration SSIS, Tabular editor, ALM toolkits, Visual studio Power BI development stack, Power BI premium Data Flows, Power query and M language scripting. Extensive experience on tabular Semantics and measures development and maintenance on SSAS Tabular/MDX and AAS. Experience in Power Automate and Power Apps based reporting and BI and reporting solution development. Proficiency in Excel based development and analysis, in particular modeling, Pivot reports, development of cubes and ingestion/transformation queries. Excel online JS scripting is a plus. Hands-on experience on Spark, Python or Kafka for queries, wrangling and transformation is a plus. Having experience on working with AWS, Google, Oracle BI and reporting stack is a plus Tableau development and Tableau reporting server management is a plus. Diverse practical background on various BI solutions is encouraged (TIBCO, Qlik, Looker, Magento etc.) Experience in Oracle OBI EE development and platform management is a plus. Hands-on experience on custom visuals developing on Power BI using React, D3.js or JS is a plus especially for 2D/3D spatial and geo mapping. Experience in DevOps CICD, version controlling, Git, observability and telemetry leading practices and tooling. Previous experience working with IT or management consultancy firms is preferred.</p><p>Bachelor s Degree in Computer engineering, Industrial management, general engineering, statistics, mathematics, data science, operational research or equivalent is required.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span style="font-size: 11px;">What You Will Be Doing</span></p><p>Here s an overview of your responsibilities and how you can leverage your expertise:</p><ul><li>Evaluate operating processes to identify opportunities for optimization, efficiency gains, and variability reduction</li><li>Design and implement advanced process control (APC) solutions, including control strategies and optimization applications</li><li>Develop and validate dynamic process models using plant data and first-principles simulation techniques</li><li>Configure and tune multivariable predictive controllers and associated control parameters</li><li>Collect, analyze, and interpret engineering and operational data to support model development and optimization strategies</li><li>Collaborate with control room operators, process engineers, and instrumentation teams to complete commissioning and control response testing</li><li>Provide commissioning, start-up, and troubleshooting support for deployed APC applications</li><li>Execute simulation and acceptance testing for large-scale optimization projects to ensure system performance and reliability</li><li>Monitor application performance and recommend continuous improvements to sustain optimization benefits over time</li><li>Prepare and maintain technical documentation, including control strategies, test plans, and commissioning reports</li><li>Support proposal development and identify opportunities for expanded automation and digitalization solutions</li><li>Adhere to company safety standards, including the ANDRITZ Life-Saving Rules, and promote a strong safety culture</li><li>Demonstrate and reinforce #1ANDRITZway core values and behaviors in all aspects of work</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Electrical, Mechatronics, Computer, Chemical, Engineering Physics, or Mining Engineering</li><li>Minimum of five (5) years experience in industrial automation and/or advanced process control (APC)</li><li>Hands-on experience with control systems, including DCS/PLC environments and system troubleshooting</li><li>Strong understanding of advanced process control concepts, including model predictive control (MPC) and loop tuning</li><li>Proven ability to analyze complex process data and translate insights into effective control strategies</li><li>Strong problem-solving skills and ability to work independently while contributing to team objectives</li><li>Excellent interpersonal, verbal, and written communication skills</li><li>Ability and willingness to travel domestically and internationally to support commissioning and site activities</li><li>Fluency in English is required; Arabic language skills are a strong asset</li><li>Experience in mining, mineral processing, or other heavy industrial process environments</li><li>Knowledge of predictive control theory and experience with industrial APC platforms</li><li>Experience with industrial process simulation</li><li>Familiarity with major control platforms (e.g., Yokogawa, Siemens, Rockwell/Allen-Bradley, ABB, Emerson, Honeywell)</li><li>Proficiency with Python, R, or SQL</li><li>Experience in consulting engineering environments</li><li>Instrumentation and electrical troubleshooting experience</li><li>Commissioning, construction, and start-up experience</li></ul><p>Fluency in English is required</p><p>Arabic language skills are a strong asset</p><p>Position based in EMEA, with travel to customer sites as required</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Position Title : AI/ML Engineer Agentic AI Experience Required: 4 6 Years (Should be open to Travel) Employment Type : Full-Time - Riyadh - Onsite</p><p>We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment.</p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>Perform prompt engineering, model experimentation, and performance optimization.</li><li>Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>Monitor model performance, drift, and continuous improvement processes.</li><li>Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul><p>Required Skills &amp; Expertise</p><ul><li>Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development .</li><li>Proficiency in Python and AI/ML development frameworks.</li><li>Experience with:</li><ul><li>LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>RAG architectures and Vector Databases</li><li>Prompt Engineering &amp; AI workflow automation</li></ul><li>Solid understanding of:</li><ul><li>NLP concepts</li><li>ML algorithms and model evaluation</li><li>Deep Learning fundamentals</li><li>AI model deployment and inference optimization</li></ul><li>Experience with ML libraries/frameworks such as:</li><ul><li>PyTorch</li><li>TensorFlow</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul><li>Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>Strong problem-solving and analytical skills.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Artificial Intelligence, Data Science, or related field. Experience working on enterprise AI automation or AI assistant platforms is highly preferred. Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</p><p></p></section>

At Air Products, we reimagine what’s possible. By tapping into the motivation of our people and our collective experience, we create the ideas and innovations that drive us forward. When we come together – where every voice is heard and everyone knows they belong and matter – we create solutions that launch people into space, support lifesaving care in hospitals, and enable the construction of groundbreaking, world scale production facilities.<br><br>Reimagine What’s Possible <br><br>Performing the implementation of new and enhanced network technology that aligns to Air Products’ and Project Specific documented standards and strategic direction for enterprise and remote site connectivity. Learn, understand and comply with Air Products standards for global network infrastructure, including wireless, LAN and SD-WAN networks and connectivity. Work closely with Enterprise Security and Architects and Network Engineering teams to understand high-level designs and deploy services in line with our strategic direction. Execute engineering efforts to ensure currency and supportability of networking technology. Provide network support for problem escalations. Work with external service providers to troubleshoot and commission wide area network technologies Participate in Cyber SAT, Integrated SAT and last planner exercises Meet service level commitments to the business both for network incidents and deployments Configure and commission ICS network hardware<br><br>What We’re Looking For<br><br>Bachelor’s degree or related experience required. Experience with current LAN, WAN and SD WAN networking routing and switching systems. Applied industry certifications or 5 years equivalent work experience in a network engineering role. Strong verbal and written communications skills with the ability to articulate detailed technical concepts and effectively communicate with end users at all levels Physical access to applicable KSA Air Products locations. Strong analytical and problem-solving abilities. Ability to work effectively in global, cross-organizational teams to assist with projects and tasks. Meticulous attention to technical details. Ability to work with strategic vendors, outside service/support providers and other third-party suppliers Industry skill competence certified professionals Positive Attitude and result oriented approach<br><br>Required Skills<br><br>Strong working knowledge of DNS, DHCP, and IP address management Extraordinary ability to manage defined scope for field deployments, planning, project management, coordination, and analytical skills. Ability to recognize and communicate risks and produce mitigation recommendations. Intermediate skill with network device configuration using CLIs as well as portal/platform management tools. Intermediate scripting skills in Power Shell, Python and Linux. Intermediate troubleshooting skills using networking tools such as Wireshark and vendor platform portals to identify and diagnose infrastructure and connectivity issues. Ability to interpret design diagrams and accurately document basic network infrastructure environments using programs like Visio. Basic understanding of ITIL process and procedures for lifecycle management.<br><br>Founded in 1940, Air Products is a world-leading industrial gases company and has a proud history of innovation, operational excellence, with an unwavering commitment to safety and environmental stewardship. Working together, we are taking our passion and diverse backgrounds forward to reimagine what’s possible and generate a cleaner future for our customers, our communities, and the world.

Company Description Technology Track is one of the fastest-growing professional ICT services companies in the Middle East, focused on driving successful digital transformation for clients across industries. The company leverages disruptive technologies to create innovative customer experiences, improve cost efficiency, and enable organizations to gain a competitive edge with speed and agility. Using an industry-based, consultative approach, Technology Track partners closely with clients to envision, build, and run more efficient and forward-looking businesses. Team members work in a dynamic environment that values technological innovation, collaboration, and continuous improvement, offering opportunities to contribute to impactful digital solutions in the region. Role Description The Software Test Engineer is a full-time, on-site role based in Riyadh, Saudi Arabia. This role involves designing, writing, and maintaining test cases, executing manual and automated tests, and validating software functionality against requirements. The Software Test Engineer collaborates with software developers, business analysts, and project managers to identify defects, troubleshoot issues, and ensure high-quality releases. Daily responsibilities include documenting test results, reporting and tracking bugs, participating in review meetings, and contributing to the improvement of testing processes, tools, and standards. The role also requires maintaining a strong understanding of project objectives and system architecture to ensure comprehensive test coverage.<br>‏We’re Hiring | Senior QA Engineer – Fleet & IoT Systems<br>We are looking for an experienced Senior QA Engineer to join our Product Development / Quality Assurance team in Riyadh, Saudi Arabia.<br>The ideal candidate will have strong experience in Software Testing, Test Automation, API Testing, Real-Time Data Validation, IoT ecosystems, and Agile Scrum, with hands-on experience in distributed and microservices-based systems.<br>- Key Responsibilities:<br>* Develop and implement comprehensive QA strategies, test plans, and test cases.* Perform end-to-end testing of Fleet Management and IoT platforms.* Validate telemetry data including GPS, sensors, events, and real-time data.* Perform UI, API, integration, system, regression, performance, and load testing.* Develop and maintain automation frameworks using Selenium, Playwright, or Cypress.* Perform API testing using REST Assured and Postman.* Validate data across microservices, databases, and messaging systems such as Kafka/Rabbit MQ.* Integrate automated testing into CI/CD pipelines.* Collaborate with Product, Development, and Dev Ops teams within an Agile Scrum environment.* Manage defects, perform root-cause analysis, and provide quality reports and metrics.<br>- Requirements:<br>* Bachelor’s degree in Computer Science, Engineering, or a related field.* 5+ years of QA experience, including at least 2+ years in IoT or Fleet Management systems.* Strong experience in both Manual and Automation Testing.* Proficiency in Java, Java Script, or Python.* Experience with Selenium / Playwright / Cypress.* Strong API testing experience.* Knowledge of Kafka, Microservices, SQL/NoSQL databases.* Experience with Jira, Xray, Test Rail, Git, and CI/CD.* Agile Scrum experience is mandatory.<br>- Preferred Qualifications:<br>* Experience with Fleet Management Systems (FMS).* Knowledge of GPS tracking and geospatial systems.* ISTQB or equivalent certification.* Experience with Dev Ops and CI/CD integration.* Docker and Cloud platforms (AWS, Azure, or GCP).<br>- Location: Riyadh, Saudi Arabia Work Type: Full-Time | On-site – HQ & Customer Sites within KSA

Hunger Station is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.<br><br>Job Description<br><br>We are looking for a highly talented Software Engineer II - Backend to join our growing team in Riyadh. If you are looking for a place where you can gain hands-on experience and create a direct impact, then this may be the place for you! The ideal candidate will collaborate with the Product Team in order to understand product requirements and provide technical expertise for all products as required, and to assist in analyzing, designing, testing, and structuring the required solutions to deliver a high-quality working software based on the business needs and standards.<br><br>You Will Be Working On<br><br>Software Development<br><br>Keep abreast of latest software development methodologies in order to be able to provide best-in-class software solutions Analyze product requirements in order to understand engineering requirements, estimate efforts and provide the required solutions in collaboration with Product Team Assist in building development components in order to transform the requirements into actual working software accurately Document all coding steps in order to ensure comprehensibility and to facilitate future modifications and maintenance Investigate and resolve issues and bugs Collaborate with other colleagues in order to assist each other in code reviews and deliver code review reports accordingly Perform functional and module testing in order to ensure functionality of delivered solutions Assist in user trials and acceptance testing<br><br>Governance and Resilience<br><br>Follow all relevant policies, procedures, and processes in order for the daily work to be carried out in a controlled and consistent manner Contribute to the identification of opportunities for continuous improvement of processes, practices, work processes, cost effectiveness, and productivity enhancement Promote to other employees within the organization the implementation and adherence to policies, procedures, processes, and instructions<br><br>Daily Operations<br><br>Follow daily operations relating to the job to ensure work continuity Contribute to preparing timely and accurate reports that concern the line of work to meet the requirements, objectives, and standards Ensure the satisfaction of both internal and external customers by addressing their needs in a courteous and timely manner<br><br>Qualifications<br><br>4-5 years of experience in backend development using GoLang, Ruby on Rails (RoR), Java, or Python Bachelor Degree in a relevant field is required Master’s degree in a relevant field is preferred Knowledge & understanding of software architecture, including Domain-Driven Design (DDD), microservices, Kubernetes, and containerization<br><br>Additional Information<br><br>We offer relocation support globally to our permanent employees. Exchange ideas and meet 2000+ colleagues from different teams within Delivery Hero in our active guilds and through our global tech and product community. Develop your skills with your personal educational budget for conferences and external training. Access our e-learning platform Linked In and participate in our various in-house training programs And much more…

Location: Jeddah, Saudi Arabia | Mode of Work: Onsite(Work from client office) | Years of Experience: 7+yrs | Term: 6-month <br>About Neostats Analytics:<br>Neo Stats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.<br>About the Job:<br>We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our team in Jeddah, Saudi Arabia. This role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. The ideal candidate will have extensive experience in banking analytics, particularly in cards marketing, and will play a pivotal role in delivering actionable insights to client teams.<br>Responsibilities:<br>Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn. Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization. Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights. Design test-and-learn frameworks, including control groups, campaign measurement logic, and post-campaign performance reviews. Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.<br>Requirements:<br>Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting. Strong banking experience, particularly with credit card and debit card products. Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics. Proficiency in Python, SAS, and SQL, with hands-on experience working with large banking datasets, including customer profiles, card transactions, and campaign history. Strong understanding of statistical modeling, machine learning, model validation, and performance tracking. Ability to clearly communicate analytical outputs to business stakeholders and prepare senior-level presentations, reports, and documentation. Experience working with marketing, product, risk, and data teams in a banking environment. Consulting discipline, including structured problem-solving, ownership, and timely delivery. Must be comfortable working as a contractor on a client-facing engagement in Saudi Arabia.<br>Preferred Qualifications:<br>Current location in Saudi Arabia, ideally Jeddah. Experience in the Saudi or GCC banking market. Exposure to card lifecycle analytics, including acquisition, activation, usage, spend growth, retention, and attrition. Familiarity with campaign management platforms, CRM systems, or marketing automation tools. Experience with A/B testing, uplift modeling, next-best-action, offer optimization, or customer lifetime value models. Knowledge of cloud-based data platforms and modern analytics environments.<br>What we offer:<br>Competitive Salary and Benefits Opportunity to be part of a fast-paced and growing startup. Grow your career with the company Ownership - You will own your initiative and be given specific responsibilities Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you

We're Hiring: E-Commerce Specialist<br><br>???? Riyadh<br><br> Full-time On-site<br><br>At Segadty, one of Saudi Arabia's leading brands in carpets, rugs, and outdoor/camping mats, we're looking for an E-Commerce Specialist to own and grow our online store and marketplace presence, and drive sales across all digital channels.<br><br>Application Requirement: Please include a brief summary at the beginning of your application highlighting your hands-on experience with Zid, Salla, Noon, Amazon, Trendyol, Click Up/Notion, and any relevant e-commerce, marketplace, or digital marketing tools you've used. Applications without this summary may not be considered.<br><br>Key Responsibilities<br><br> Manage and update the online store on Zid or Salla, including adding products and editing descriptions, images, prices, and categories Manage the brand's presence on marketplaces such as Noon, Amazon, and Trendyol — uploading products, updating inventory, and handling orders and reviews Ensure product data accuracy and quality, and compliance with each platform's policies and listing standards Optimize product listings and content to improve visibility, ranking, and conversion on both the store and marketplaces Support and execute digital marketing activities across social media and paid campaigns to drive traffic and sales Monitor competitors' pricing, offers, and activity across platforms, and recommend improvements Track daily sales and performance reports, and coordinate with warehouse and shipping to keep listed inventory aligned with actual stock<br><br>Requirements<br><br> Hands-on experience managing e-commerce stores on Zid or Salla Experience managing marketplace accounts (Noon, Amazon, Trendyol, or similar) Good understanding of digital marketing and paid advertising fundamentals Strong attention to detail in product data and listing quality Analytical mindset with the ability to read reports and act on the numbers Team player with solid time-management skills<br><br>#Hiring #Riyadh Jobs #Ecommerce #Marketplace #Noon #Amazon #Zid #Salla #Digital Marketing #Segadty<br><br>Requirements<br><br> Hands-on experience managing e-commerce stores on Zid or Salla Experience managing marketplace accounts (Noon, Amazon, Trendyol, or similar) Good understanding of digital marketing and paid advertising fundamentals Strong attention to detail in product data and listing quality Analytical mindset with the ability to read reports and act on the numbers Team player with solid time-management skills<br><br>Benefits<br><br> Why Join Us? <br><br>Modern Tech Stack & Autonomy: You'll have the freedom to suggest and implement the best tools for the job. We maintain clean codebases and encourage technical ownership Deep Industry Impact: This isn't just "maintenance." You will be the architect of the systems that power real-world commerce and logistics, seeing the direct impact of your code every day Professional Growth: Access to a collaborative environment where peer code reviews and knowledge sharing are part of the daily routine. We encourage staying ahead of the curve with the latest Python frameworks and cloud technologies A sync-Friendly Culture: We minimize unnecessary meetings to protect your "Deep Work" time, allowing you to focus on solving complex logic and building robust integrations Mentorship & Collaboration: Work directly with a team that values technical excellence and supports each other in troubleshooting and architectural design Flexible Environment: A "come as you are" culture that focuses on professionalism and results rather than strict corporate formalities

Location: Jeddah, Saudi Arabia | Mode of Work: Onsite(Work from client office) | Years of Experience: 7+yrs | Term: 12-month <br>About Neostats Analytics:<br>Neo Stats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.<br>About the Job:<br>We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our team in Jeddah, Saudi Arabia. This role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. The ideal candidate will have extensive experience in banking analytics, particularly in cards marketing, and will play a pivotal role in delivering actionable insights to client teams.<br>Responsibilities:<br>Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn. Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization. Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights. Design test-and-learn frameworks, including control groups, campaign measurement logic, and post-campaign performance reviews. Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.<br>Requirements:<br>Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting. Strong banking experience, particularly with credit card and debit card products. Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics. Proficiency in Python, SAS, and SQL, with hands-on experience working with large banking datasets, including customer profiles, card transactions, and campaign history. Strong understanding of statistical modeling, machine learning, model validation, and performance tracking. Ability to clearly communicate analytical outputs to business stakeholders and prepare senior-level presentations, reports, and documentation. Experience working with marketing, product, risk, and data teams in a banking environment. Consulting discipline, including structured problem-solving, ownership, and timely delivery. Must be comfortable working as a contractor on a client-facing engagement in Saudi Arabia.<br>Preferred Qualifications:<br>Current location in Saudi Arabia, ideally Jeddah. Experience in the Saudi or GCC banking market. Exposure to card lifecycle analytics, including acquisition, activation, usage, spend growth, retention, and attrition. Familiarity with campaign management platforms, CRM systems, or marketing automation tools. Experience with A/B testing, uplift modeling, next-best-action, offer optimization, or customer lifetime value models. Knowledge of cloud-based data platforms and modern analytics environments.<br>What we offer:<br>Competitive Salary and Benefits Opportunity to be part of a fast-paced and growing startup. Grow your career with the company Ownership - You will own your initiative and be given specific responsibilities Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities Integration Stream Lead will be responsible of the end-to-end delivery of interfaces which includes Requirement gathering, Design, Build, Test, Deployment, Support. MxML workflow integration with up and downstream systems (FMDW, TOMS, BSMT, etc) Building interfaces with Murex and other systems using Java, Linux Scripts and Python. Build, enhance and debug Datamart reports Regression Cycle analysis (EOD run and diff analysis) Skills Must have 10-15 years of total working experience 10+ years as integration lead experience Experience on Mx3.1 MxML Exchange Market Data and Unix scripting Strong experience on interfaces (Bloomberg, Refinitiv, IHS Markit...) to trading platforms and market data providers Must have worked on packaged interfaces Strong Shell Scripting capability Good SQL programming skills Good knowledge of overall Murex system Understanding of Control-M Good ability to suggest improvements in existing solutions Product knowledge FX, IRD, FI, EQD, CRD, MM, COM Nice to have NA Other Languages English: C2 Proficient Seniority Regular</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must have 10-15 years of total working experience 10+ years as integration lead experience Experience on Mx3.1 MxML Exchange Market Data and Unix scripting Strong experience on interfaces (Bloomberg, Refinitiv, IHS Markit...) to trading platforms and market data providers Must have worked on packaged interfaces Strong Shell Scripting capability Good SQL programming skills Good knowledge of overall Murex system Understanding of Control-M Good ability to suggest improvements in existing solutions Product knowledge FX, IRD, FI, EQD, CRD, MM, COM Nice to have NA Other Languages English: C2 Proficient</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Data Scientist – Compliance (Banking) to develop, validate, and deploy advanced analytics and machine learning solutions that support regulatory compliance, financial crime prevention, and risk management initiatives within the banking environment.<br> The ideal candidate will combine strong technical expertise in data science with deep knowledge of banking regulations, AML/KYC processes, sanctions screening, and model risk management frameworks.<br> This role requires delivering robust, explainable, and audit-ready models that meet regulatory expectations and business objectives.<br> Key Responsibilities Design, develop, validate, and monitor machine learning and statistical models for compliance, financial crime detection, and risk management use cases.<br> Build predictive and anomaly detection models supporting AML, KYC, sanctions screening, transaction monitoring, customer risk scoring, and fraud detection programs.<br> Ensure all models comply with internal governance standards, regulatory requirements, and model risk management frameworks.<br> Perform model validation, performance testing, stability analysis, bias assessment, and explainability reviews.<br> Develop and maintain comprehensive model documentation, validation reports, and audit-ready artifacts.<br> Collaborate with Compliance, Risk, Financial Crime, Technology, and Data Engineering teams to translate business requirements into analytical solutions.<br> Analyze large-scale structured and unstructured datasets to identify patterns, trends, and emerging compliance risks.<br> Implement model monitoring frameworks, performance dashboards, and periodic model reviews.<br> Support internal audits, regulatory examinations, and independent model validation exercises.<br> Stay current with evolving regulatory requirements, industry best practices, and advancements in AI/ML technologies.<br> Mentor junior data scientists and contribute to the establishment of data science best practices and governance standards.<br> Required Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Finance, or a related quantitative discipline.<br> 6–8+ years of experience in Data Science, Machine Learning, or Advanced Analytics within Banking or Financial Services .<br> Strong programming expertise in Python and SQL .<br> Hands-on experience with machine learning libraries and frameworks including scikit-learn , XGBoost , PyTorch , and/or TensorFlow .<br> Experience developing and validating classification, anomaly detection, forecasting, and risk-scoring models.<br> Strong understanding of Model Risk Management (MRM) frameworks, model governance, and validation methodologies.<br> Knowledge of banking regulatory requirements and compliance controls.<br> Experience working with cloud and big-data ecosystems is an advantage.<br> Domain Expertise Anti-Money Laundering (AML) Know Your Customer (KYC) Customer Due Diligence (CDD) / Enhanced Due Diligence (EDD) Sanctions Screening Transaction Monitoring Financial Crime Risk Management Regulatory Compliance and Reporting Preferred Skills Experience with explainable AI (XAI) techniques and model interpretability tools.<br> Knowledge of regulatory expectations related to AI/ML model governance in financial institutions.<br> Familiarity with MLOps, model deployment, monitoring, and lifecycle management.<br> Strong analytical thinking, problem-solving, and stakeholder management skills.<br> Excellent communication and documentation abilities with experience presenting to risk, compliance, audit, and senior leadership teams.<br> Success Metrics Delivery of compliant, accurate, and explainable machine learning models.<br> Successful completion of model validation and regulatory reviews.<br> Reduction in false positives and improved detection effectiveness in compliance programs.<br> High-quality audit-ready documentation and governance adherence.<br> Effective collaboration with Compliance, Risk, and Technology stakeholders.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Thèse CIFRE : Comportement en fatigue multiaxiale de structures lattice métalliques réalisées F/H</p><br><br><p>CIFRE</p><br><br><p>36</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Safran développe des moteurs aéronautiques plus légers, moins consommateurs de carburant et plus respectueux de l'environnement, tout en garantissant d'excellentes performances. Safran Additive Manufacturing Campus (SAMC) joue un rôle clé en développant et en qualifiant des technologies de pointe, telles que la fabrication par fusion laser sur lit de poudre, pour la réalisation de structures innovantes aux géométries complexes et optimisées. <br>Dans ce contexte, SAMC étudie et fait évoluer les outils à l'état de l'art, pour la conception, la simulation du procédé, le dimensionnement et l'analyse des structures architecturées, qui constituent un levier de gain de masse pour des propriétés mécaniques améliorées. <br>Ce nouveau projet de thèse vise à approfondir la compréhension du comportement mécanique de ces structures dans des conditions représentatives des sollicitations aéronautiques. L'objectif de la thèse est ainsi la caractérisation et la modélisation du comportement mécanique en fatigue multiaxiale des structures lattice, réalisées par fusion laser sur lit de poudre métallique, avec la compréhension et la prise en compte des effets des géométries réelles, de la microstructure et de la santé matière induites par le procédé.<br>La démarche reposera sur une forte interaction entre expérimental et numérique :<br>- Caractérisation par voie expérimentale : analyse de l'anisotropie, des mécanismes d'endommagement et du rôle spécifique des caractéristiques géométriques, microstructurales et de la santé matière, ainsi que de l'effet de changement de motifs architecturés. <br>- Proposition et intégration dans un cadre numérique adapté aux contraintes industrielles d'un modèle prédictif de l'endommagement des structures lattice : extension, robustification et fiabilisation de modèles. <br>Le sujet de thèse s'inscrit dans une démarche collaborative ambitieuse, qui fait intervenir des discussions entre le monde numérique et les données expérimentales. <br>Les travaux de recherche se dérouleront entre SAMC et le département DUMAS du laboratoire I2M qui développe depuis de nombreuses années des travaux numériques et expérimentaux dans le domaine du comportement mécanique des matériaux architecturés et sur l'effet des procédés.</p><br><br><p>Contrat CIFRE</p><br><br><p>Titulaire d'un Master 2e année ou d'un diplôme équivalent dans le domaine de la mécanique des matériaux et des structures.<br>Connaissances en analyse microstructurale et en réalisation des essais mécaniques. <br>Connaissances en simulations numériques par éléments finis, analyse numérique et programmation python.<br>Une connaissance des procédés de fabrication additive est un plus.<br>Qualités et aptitudes recherchées :<br>Autonomie, rigueur, curiosité, esprit de synthèse, force de proposition, aptitude à travailler en équipe. </p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>We are looking for a Staff Analytics Engineer to own event instrumentation and behavioural data at Salla. You will own Salla's event taxonomy, tracking plans, schemas, and identity model, and the validation that keeps them trustworthy. You will work inside the engineering development lifecycle, in PRDs, design reviews and pull requests, rather than downstream of it, and partner with Product so that every behavioural metric traces back to an event someone deliberately designed, documented and monitored. This is a senior individual-contributor role with company-wide leverage, suited to someone who understands that the hardest part of instrumentation is not the schema, it is getting a hundred engineers to adopt it.</p><p><b><br></b></p><p><b>Responsibilities</b></p><ul><li>Own the design, development, and maintenance of our data models and transformation pipelines</li><li>Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions</li><li>Ensure data quality and consistency through rigorous testing, validation, and monitoring practices</li><li>Proactively spot and fix data issues</li><li>Maintain and document the data warehouse structure, data dictionary, and lineage</li><li>Define and enforce data modeling best practices</li><li>Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights</li><li>Improve developer experience across the data stack by automating workflows and simplifying data discovery</li></ul><p><strong>Desired Candidate Profile</strong></p><p>6+ years in analytics engineering, data engineering, product analytics infrastructure, or software engineering, including at least 3 years directly owning event instrumentation and tracking.</p><p>Proven track record designing an event taxonomy and tracking plan from scratch, and driving genuine adoption across engineering teams</p><p>Hands-on experience with event collection or CDP platforms (Segment, Jitsu, or similar) and product analytics platforms (Amplitude, Mixpanel, PostHog, GA4)</p><p>Strong software engineering fundamentals, enough production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go or Python to meaningfully review an engineer's tracking pull request.</p><p>Expert SQL and hands-on dbt, with experience modelling high-volume event data in a columnar warehouse (ClickHouse, BigQuery, Snowflake).</p><p>Working knowledge of streaming architecture (Kafka or equivalent), including delivery semantics, idempotency, deduplication and late-arriving data</p><p>Experience with server-side tagging, consent management, and privacy regulation.</p><p>A clear, defensible point of view on identity resolution, sessionisation, and cross-platform stitching.</p><p>Demonstrated ability to influence engineering teams without authority, and excellent written communication.</p><p>Nice to Have</p><ul><li>Proficiency working in Arabic</li><li>Experience working in the GCC</li><li>Experience in e-commerce, marketplaces, fintech, or multi-tenant SaaS platforms</li><li>Depth in mobile instrumentation (native SDKs, install attribution, deep links, offline buffering)</li><li>Familiarity with tracking-plan governance or event observability tooling (Avo, Segment Protocols, Trackingplan or similar)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Staff Analytics Engineer to own event instrumentation and behavioural data at Salla.<br> You will own Salla's event taxonomy, tracking plans, schemas, and identity model, and the validation that keeps them trustworthy.<br> You will work inside the engineering development lifecycle, in PRDs, design reviews and pull requests, rather than downstream of it, and partner with Product so that every behavioural metric traces back to an event someone deliberately designed, documented and monitored.<br> This is a senior individual-contributor role with company-wide leverage, suited to someone who understands that the hardest part of instrumentation is not the schema, it is getting a hundred engineers to adopt it.<br> Responsibilities Own the design, development, and maintenance of our data models and transformation pipelines Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions Ensure data quality and consistency through rigorous testing, validation, and monitoring practices Proactively spot and fix data issues Maintain and document the data warehouse structure, data dictionary, and lineage Define and enforce data modeling best practices Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights Improve developer experience across the data stack by automating workflows and simplifying data discovery 6+ years in analytics engineering, data engineering, product analytics infrastructure, or software engineering, including at least 3 years directly owning event instrumentation and tracking.<br> Proven track record designing an event taxonomy and tracking plan from scratch, and driving genuine adoption across engineering teams Hands-on experience with event collection or CDP platforms (Segment, Jitsu, or similar) and product analytics platforms (Amplitude, Mixpanel, PostHog, GA4) Strong software engineering fundamentals, enough production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go or Python to meaningfully review an engineer's tracking pull request.<br> Expert SQL and hands-on dbt, with experience modelling high-volume event data in a columnar warehouse (ClickHouse, BigQuery, Snowflake).<br> Working knowledge of streaming architecture (Kafka or equivalent), including delivery semantics, idempotency, deduplication and late-arriving data Experience with server-side tagging, consent management, and privacy regulation.<br> A clear, defensible point of view on identity resolution, sessionisation, and cross-platform stitching.<br> Demonstrated ability to influence engineering teams without authority, and excellent written communication.<br> Nice to Have Proficiency working in Arabic Experience working in the GCC Experience in e-commerce, marketplaces, fintech, or multi-tenant SaaS platforms Depth in mobile instrumentation (native SDKs, install attribution, deep links, offline buffering) Familiarity with tracking-plan governance or event observability tooling (Avo, Segment Protocols, Trackingplan or similar)</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Salla and the Senior Product Data Analyst Role</h3> <p style="margin:0 0 12px; ************;">Salla is seeking a <strong style="font-weight:700;">Senior Product Data Analyst</strong> to join its team in Jiddah, Makkah, Saudi Arabia. This full-time role is central to influencing how Salla develops and enhances its products through data-driven insights. The analyst will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance into actionable decisions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose and Strategic Context</h3> <p style="margin:0 0 12px; ************;">The Senior Product Data Analyst will assume end-to-end ownership of analytics for a specific product area. This includes defining success metrics, developing measurement plans, analyzing experiments, monitoring product launches, and recommending subsequent steps. Salla's products are complex and operate at scale, often presenting challenges without predefined solutions. The role requires the ability to quickly understand new domains, synthesize information from incomplete inputs, and determine the appropriate level of analysis for timely decision-making. Success in this position depends on making informed judgments with incomplete information while maintaining analytical rigor and moving with agility.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Partner with product teams to convert questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li> <li style="margin:0 0 6px;">Manage analytics across critical product journeys, encompassing funnels, feature adoption, engagement, conversion, retention, and segmentation.</li> <li style="margin:0 0 6px;">Conduct in-depth analyses to diagnose performance shifts, identify root causes, and propose product enhancement opportunities.</li> <li style="margin:0 0 6px;">Design and analyze A/B tests and impact evaluations, including metric selection, guardrails, validation checks, and decision recommendations.</li> <li style="margin:0 0 6px;">Develop and validate tracking plans for new features.</li> <li style="margin:0 0 6px;">Measure product launches and create dashboards and self-serve tools for continuous product health monitoring.</li> <li style="margin:0 0 6px;">Clearly communicate findings, business impact, and trade-offs, while contributing to team best practices and mentoring junior analysts.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A minimum of <strong style="font-weight:700;">4 years of experience</strong> in product analytics, data analytics, or a similar role within a technology or digital-product environment.</li> <li style="margin:0 0 6px;">Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li> <li style="margin:0 0 6px;">Practical experience with product experiments and a solid grasp of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li> <li style="margin:0 0 6px;">Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills and Core Competencies</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Advanced SQL proficiency and experience working with large, intricate datasets.</li> <li style="margin:0 0 6px;">Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau, complemented by a working knowledge of Python or R.</li> <li style="margin:0 0 6px;">Demonstrated product judgment and the capability to manage analytical work autonomously in ambiguous situations.</li> <li style="margin:0 0 6px;">Excellent communication and stakeholder-management skills, with a proven ability to influence product decisions through data insights.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Process</h3> <p style="margin:0 0 12px; ************;">Candidates who meet the specified qualifications are encouraged to apply.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Salla and the Senior Product Data Analyst Role</h3> <p style="margin:0 0 12px; ************;">Salla is seeking a <strong style="font-weight:700;">Senior Product Data Analyst</strong> to join its team in Jiddah, Makkah, Saudi Arabia. This full-time role is central to influencing how Salla develops and enhances its products through data-driven insights. The analyst will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance into actionable decisions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose and Strategic Context</h3> <p style="margin:0 0 12px; ************;">The Senior Product Data Analyst will assume end-to-end ownership of analytics for a specific product area. This includes defining success metrics, developing measurement plans, analyzing experiments, monitoring product launches, and recommending subsequent steps. Salla's products are complex and operate at scale, often presenting challenges without predefined solutions. The role requires the ability to quickly understand new domains, synthesize information from incomplete inputs, and determine the appropriate level of analysis for timely decision-making. Success in this position depends on making informed judgments with incomplete information while maintaining analytical rigor and moving with agility.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Partner with product teams to convert questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li> <li style="margin:0 0 6px;">Manage analytics across critical product journeys, encompassing funnels, feature adoption, engagement, conversion, retention, and segmentation.</li> <li style="margin:0 0 6px;">Conduct in-depth analyses to diagnose performance shifts, identify root causes, and propose product enhancement opportunities.</li> <li style="margin:0 0 6px;">Design and analyze A/B tests and impact evaluations, including metric selection, guardrails, validation checks, and decision recommendations.</li> <li style="margin:0 0 6px;">Develop and validate tracking plans for new features.</li> <li style="margin:0 0 6px;">Measure product launches and create dashboards and self-serve tools for continuous product health monitoring.</li> <li style="margin:0 0 6px;">Clearly communicate findings, business impact, and trade-offs, while contributing to team best practices and mentoring junior analysts.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A minimum of <strong style="font-weight:700;">4 years of experience</strong> in product analytics, data analytics, or a similar role within a technology or digital-product environment.</li> <li style="margin:0 0 6px;">Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li> <li style="margin:0 0 6px;">Practical experience with product experiments and a solid grasp of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li> <li style="margin:0 0 6px;">Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills and Core Competencies</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Advanced SQL proficiency and experience working with large, intricate datasets.</li> <li style="margin:0 0 6px;">Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau, complemented by a working knowledge of Python or R.</li> <li style="margin:0 0 6px;">Demonstrated product judgment and the capability to manage analytical work autonomously in ambiguous situations.</li> <li style="margin:0 0 6px;">Excellent communication and stakeholder-management skills, with a proven ability to influence product decisions through data insights.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Process</h3> <p style="margin:0 0 12px; ************;">Candidates who meet the specified qualifications are encouraged to apply.</p>

<p>As an AI/ML Associate Manager , you will design, develop, and deploy advanced Artificial Intelligence (AI) and Machine Learning (ML) solutions that address complex business challenges. You will leverage cloud AI services, Generative AI technologies, and modern MLOps practices to build scalable, production-ready AI systems. This role requires expertise in model development, data engineering, and AI platform capabilities to support enterprise-wide AI adoption.</p><p>Key Responsibilities</p><ul><li>Design and develop AI and Machine Learning solutions using cloud-native AI services and modern AI frameworks.</li><li>Build and maintain scalable data pipelines to support model training, deployment, monitoring, and production operations.</li><li>Implement DevOps and MLOps practices to enable efficient model lifecycle management and continuous delivery.</li><li>Customize, fine-tune, and deploy Generative AI, Large Language Models (LLMs), and Deep Learning models based on business requirements.</li><li>Develop AI solutions that operate across cloud environments, edge devices, and high-performance computing (HPC) infrastructures.</li><li>Evaluate model performance and demonstrate the business value, accuracy, and effectiveness of AI solutions.</li><li>Conduct research and development activities to assess emerging AI technologies, algorithms, and modeling approaches.</li><li>Work with large-scale structured and unstructured datasets, applying data preparation and feature engineering techniques to improve model outcomes.</li><li>Design and implement efficient data, model, and knowledge storage solutions to support AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, architects, and business stakeholders to deliver scalable and production-ready AI solutions.</li><li>Ensure AI solutions follow security, governance, and Responsible AI standards throughout the development lifecycle.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>6-9 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related fields.</li><li>Hands-on experience developing and deploying AI/ML solutions in enterprise environments.</li><li>Strong experience with Python and popular AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.</li><li>Experience working with Generative AI, Large Language Models (LLMs), Deep Learning, and related AI technologies.</li><li>Knowledge of cloud-based AI services on Azure, AWS, or Google Cloud Platform.</li><li>Experience building data pipelines and implementing MLOps practices for model deployment and monitoring.</li><li>Strong understanding of data engineering, data preprocessing, and model optimization techniques.</li><li>Experience fine-tuning and deploying Generative AI and foundation models for business use cases.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI, distributed computing, and high-performance computing (HPC) environments.</li><li>Experience with AI observability, model monitoring, and production support processes.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, or Cloud Technologies are preferred.</li></ul>

<p>Implement and deploy applications software, providing staff support and training, ensuring regulatory compliance and data security, analyzing data for operational insights, monitoring application performance, safeguarding patient privacy, to support aligning IT solutions with clinical needs and improve healthcare delivery.</p><p><strong>Accountabilities</strong></p><ul><li>Support in developing new applications or customizing existing ones to meet the unique needs of the retail industry, for assigned applications.</li><li>Act as level 2 support for assigned applications with end users making sure any bugs or errors are resolved within agreed SLAs to meet internal customer needs.</li><li>Analyzing the specific requirements of end users and support in designing solutions that meet their needs and streamline required processes, improve patient care, and enhance operational efficiency.</li><li>Support in the implementation of new software applications or major updates on assigned applications, ensuring minimal disruption to daily operations and compatibility with existing systems.</li><li>Utilize IT data for analysis and reporting purposes, to use to spot areas of development or any operating inefficiencies.</li><li>Collaborating with vendors that provide specialized applications support, ensuring that these tools meet the specific needs of the end user.</li><li>Continuously monitor the performance of applications, ensuring they meet the demands of a fast-paced retail environment and identifying areas for improvement.</li><li>Ensuring patient privacy is maintained in all applications, with strict adherence to confidentiality and data protection best practices to maintain patient privacy.</li><li>Staying abreast of technological advancements in both the IT and pharmacy sectors, exploring innovative solutions like tele pharmacy, mobile health apps, and AI-driven tools to stay updated with technological advancements and explore innovative solutions.</li><li>Collaborating with pharmacists, healthcare providers, and insurance companies to ensure that IT solutions align with business needs and facilitate effective healthcare delivery</li></ul><p>Employee duties are not limited only to the above-mentioned Accountabilities; he/she may perform other duties as assigned.</p><p><strong>Work Environment</strong></p><ul><li>Indoors : 100%</li><li>Outdoors : 0%</li><li>Working Days : 5 Working Days</li><li>Days off : 2 Days Off</li><li>Working Hours : 8:00 AM 6:00 PM (1 hour break)</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Job Requirement</strong></p><ul><li>Education BSc in IT (preferably in MIS Systems Design) or related field.</li><li>Experience 3+ years in an IT applications function with preference for retail or related industry.</li><li><strong>Computer Skills</strong></li><li>Proficiency in specific store applications and general retail systems.</li><li>Proficiency in languages such as SQL, Java, Python, or .NET</li><li>Skills in database technologies like SQL Server, Oracle, MySQL</li><li>Knowledge of various phases of SDLC</li><li>Familiarity with common ERP and CRM platforms, such as SAP, Oracle, Salesforce</li><li>Experience with BI tools like Tableau, Power BI</li><li>Understanding of various operating systems like Windows, Linux</li><li><strong>Languages</strong> English Arabic</li></ul>