

Key job responsibilities
· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
· Apply Statistical and Machine Learning methods to specific business problems and data.
· Create global standard metrics across regions and perform benchmark analysis.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
· Develop efficient data querying and modeling infrastructure.
· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
· Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Good written, verbal, listening and communication skills in English.
- Master Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics with relevant experience.
- · Experience working with data visualization tools and creating data visualization concepts, such as Tableau or equivalent.
- · Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.
- · Experience of statistical analysis and tools such as SAS, R, or equivalent.
- · Fluency in a scripting or computing language. (e.g. Python, C++, Java, etc.)
- · Experience in e-commerce with AI technology as a plus.
- · Natural curiosity and desire to learn.
משרות נוספות שיכולות לעניין אותך

Key job responsibilities-Run Proof Of Concept to demonstrate all the functionalities of the eero solution.-Write white papers and tech notes highlighting eero’s best features and technologies.
-Test eero against competitors and put together a comprehensive “How to Test eero” guide for prospective partners outlining the best in-field and lab testing techniques.
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- In depth knowledge of wifi and networking protocols
- Experience in designing, deploying and troubleshooting wired and wireless networks
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Fluent Japanese, Business level English
- Experience working as a Solutions Architect or Sales engineer in the networking field
- Industry level certification focusing on wireless networking (CWAP or similar).
- Proficiency with wireless packet capture tools like Wireshark, omnipeek, and Ekahau.
- Proficiency with pre and post deployment site survey tools like Ekahau.
- Proficiency with wireless speed and performance testing tools like iPerf and IxChariot.
- Comfortable in at least one scripting language and using APIs to automate workflows
- Demonstrate ability to handle multiple, competing priorities in a fast-paced environment
- Analytical – able to self-serve from existing data sources and collect new data from any source as required
משרות נוספות שיכולות לעניין אותך

Key job responsibilities
• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline
A day in the life
You will experience a typical day of DCO in Amazon with
• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issuesReasons you will love working in an Amazon Data Center:
• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?Inclusive Team CultureMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
- Bachelor's degree in IT, computer science or equivalent
- Knowledge of network cabling, optic types, and test equipment
- • 1+ years of computer hardware troubleshooting and repair experience
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
- 1+ years of data center experience
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- Experience summarizing and communicating important data
משרות נוספות שיכולות לעניין אותך

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
משרות נוספות שיכולות לעניין אותך

As a Manufacturing Test Engineer, you’ll have a unique opportunity to shape the development and future of the AWS Solutions Hardware team. In this role you will innovate and solve problems of high ambiguity and high impact. You will drive design choices, trade-offs, priorities and timelines that align with overall project goals. You will demonstrate exceptional technical expertise, and practical experience designing factory test solutions. You are data and metric driven, and consistently strive for optimal performance even in resource-constrained situations. You will guide and inspire other engineers, participate in defining our engineering culture, and help to build a world class team.Key job responsibilities
As a Manufacturing Test Engineer you’ll be expected to:
• Design and Develop test solutions and test-setup prototypes for new technologies
• Work collaboratively with engineering and operations partners
• Serve as a test lead on cross-functional projects with significant bottom-line impact
• Ensure the quality and execution of our manufacturing test systems
• Lead test design and drive test coverage reviews with engineering teams and CMs.
• Proactively communicate technical information and status to broad, cross-functional teams via weekly updates
• Functionally decompose complex problems into simple, straight-forward solutions
• Understand system inter-dependencies and limitations
• Travel to development and build sites in Seattle and Asia to support NPI activities.
• Work with contract manufacturing test teams to ensure test line readiness for NPI build events.A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- Experience in developing functional specifications, design verification plans and functional test procedures
- Bachelor degree in Computer Engineering, Electronics Engineering, Computer Science or equivalent.
- 5+ years of test development experience working directly within engineering teams and contract manufacturers.
- Experience building and operating production systems or test framework and tools with at least one modern language such as C++, C#, Java, Python, Labview or other related language.
- Experience in test methodologies for RF, Wireless and GPS designs.
- Knowledge of factory and test best practices including systems development, process control, vendor engagement, and test operations.
- Understanding of rapid product development lifecycles and system development best practices.
משרות נוספות שיכולות לעניין אותך

You will play a critical role in improving customer satisfaction metrics, bringing buying efficiency for Fresh produce, and reducing damage / expiry due to bad produce quality. This will require collaboration with various internal teams, including instock managers, vendor managers, store operation managers and fulfillment partners. The ideal candidate will have strong interpersonal and execution skills to handle daily operations and continuously drive process improvements and automation.
Key job responsibilities
• Review the quality of Meat, Seafood, Fruits, Vegetables, Eggs, and other perishable items during the inbound at Amazon stores, hubs and vendors sites
• Reject the damaged/defective items back to the vendor
• Make a note of the items rejected during the inbound (by item/by vendor, quantity)
• Audit the quality during picking & packing process performed by the LPC associates
• Monitor the Packaging standards during packing process
• Perform daily audit of Bins and share weekly/daily report with the stakeholders
• Train the store and hub associates on quality, SOPs and packaging.
• The role might require work over weekend but not exceeding 40 hours work weekDesired Traits:
• Eye for details and operational excellence.
• Strong interpersonal skills, with a focus on building collaborative relationships.
• Detail-oriented with excellent accuracy in data handling and reporting.
• Problem-solving mindset, with the ability to identify and implement process improvements.
• Willingness to take the initiative, handle additional responsibilities, and travel as needed.
• Ability to remain calm under pressure and communicate clearly with internal and external stakeholders.
- Bachelor's degree
- Speak, write, and read fluently in Arabic
- Knowledge of Excel and PowerPoint
- • Strong written and verbal communication skills.HACCP, PIC 3 (Person In Charge) - certified by SFDA / Highfield Food safety level 4, ISO 22000, GMP
- • Knowledge of fruits and Vegetable Quality specifications, familiarity with Riyadh F&V Market - Al Kharj / Taif / Tabuk fresh produce farms
- • Proficiency in Microsoft Office Suite, particularly Excel.
- Experience in online retail
- Experience using analytical specific tools such as Google Analytics, SQL or HTML
משרות נוספות שיכולות לעניין אותך

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations technical support managers, and other vital roles. You’ll collaborate with people across Amazon and our operating partners to help Amazon Web Services deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for the customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The position responsibilities will include scaling support of several data center locations and be responsible for day to day assistance with capacity management. The Network Technician II will work closely with both internal customers and external vendors to facilitate smooth project execution as directed by Technical Program ManagersKey job responsibilities
1. The position responsibilities involve delivering the hardware, configuration and fiber connectivity of interdependent scaling projects across several data center locations. The Network Technician will work closely with both internal customers and external vendors to facilitate smooth project execution in association with Technical Program Managers.
2. Network cabling infrastructure planning, coordination, installation , and decommission.
3. Network device deployment, turn up, and decommission.
4. Emergent Scaling Response.
5. New network hardware review.
6. New network hardware training, and support documentation for deployment and support.8. Network Room Maintenance, Retrofitting, and Upgrades, in collaboration with our partnersAbout the team
About Amazon Web Services
Diverse Experiences
Amazon Web Services values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
• AS/BS in Information Systems, Computer Science or Information Assurance;3-5+ years of mid-level and/or enterprise experience as a technician or engineer in a highly dynamic environment; or an equivalent combination of education and experience.
• Knowledge of TCP/IP networking and routing protocols, network cabling, optic types, and test equipment, such as VFL, Power meter, and OTDR;
• Experience with cabling infrastructure best practices and methodologies, and troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low to mid-level application interaction
• Comfortability with medium to large, complex project scopes and ambiguous details within work environment;
• Excellent judgement and analytical skills, ability to prioritize tasks based on fluctuating needs;
• Strong understanding of major Command Line Protocols (Cisco IOS, JunOS, etc) and common Networking Protocols (BGP, OSPF);
• Significant background in large scale datacenter network implementations and support, or several years of working experience in virtualized enterprise networking environments, or professional experience with IT best practice frameworks (ITIL, LEAN, AGILE) and Operational Excellence concepts or methodologies is a plus;
• CCNA, CCNP or JNCIA Certifications.
משרות נוספות שיכולות לעניין אותך

Key job responsibilities
· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
· Apply Statistical and Machine Learning methods to specific business problems and data.
· Create global standard metrics across regions and perform benchmark analysis.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
· Develop efficient data querying and modeling infrastructure.
· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
· Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Good written, verbal, listening and communication skills in English.
- Master Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics with relevant experience.
- · Experience working with data visualization tools and creating data visualization concepts, such as Tableau or equivalent.
- · Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.
- · Experience of statistical analysis and tools such as SAS, R, or equivalent.
- · Fluency in a scripting or computing language. (e.g. Python, C++, Java, etc.)
- · Experience in e-commerce with AI technology as a plus.
- · Natural curiosity and desire to learn.
משרות נוספות שיכולות לעניין אותך