

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

As a member of the AWS Professional Services Security, Risk, and Compliance Practice, you'll pioneer technically excellent security solutions supporting customer initiatives that are meaningful to their business. You'll collaborate with AWS service teams on new features, innovate with new technologies, and explore new challenges while working closely with customers to design, implement, and manage secure AWS solutions that meet their technical requirements, compliance needs, and business objectives.Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs with a focus on security and compliance requirements
- Providing technical guidance on best practices and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather security requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsA day in the life
About the team
Diverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.
- BA/BS degree or equivalent experience
- 5 years' experience in IT security, compliance, or risk management.
- Familiarity with common attack patterns, exploitation and remediation techniques, with strong hands-on experience with mainline programming languages such as TypeScript, Python, or Go
- Result oriented, high energy, self-motivated with excellent communication, work prioritization and analytical skills
- Ability to travel to client locations to deliver professional services as needed
- AWS Professional level certifications preferred (Solutions Architect Professional, Machine Learning Engineer Associate)
- Industry-recognized security credentials including CISSP, CISA, CREST, and privacy certifications (CIPP, CIPT, CIPM)
- Demonstrated hands-on expertise in architecting, building, and deploying enterprise-grade security solutions and infrastructure
- Extensive implementation experience with advanced security technologies including SSO, Federation, WAF, IPS, Anti-DDoS, and SIEM
- Proven experience implementing security controls to meet industry compliance requirements such as PCI DSS, ISO 27001/27701, GDPR, and NIST Frameworks

Key job responsibilities
• Lead incident response operations
• Become a technical resource that earns the trust of customer stakeholders before, during, and after a security event.
• Contribute individually and as part of a team that include Amazonians, partners, and customers to build and deploy threat detection and incident response capabilities.
• Lead key elements of designing, building, and deploying solutions to automate security operations and incident response on AWS.
• Develop high-quality content, such as automation tools, reference architectures, and white papers to help our customers secure their workloads.
• Innovate on behalf of customers by translating your thoughts into action oriented results.
• Mentor and invest in our team, partners and customers to raise the bar for our customers.
• On-call required.
Why AWS
Work/Life BalanceMentorship and 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.
• Experience performing incident response activities
• 1+ year of experience building/operating on the AWS platform
• 2+ year of experience in technical IT security or related job role
• 1 years of threat detection or incident response experience
• Hands-on technical expertise in incident response technology, security, automation, implementation, integration, and/or deployment
• AWS Solutions Architect
• AWS Certified Security - Specialty Certification
• Hands-on technical expertise in building scripts, tools, or methodologies that enhance customers’ threat detection and incident response capabilities
• Experience in operating security solutions, such as WAF, IPS, Anti-DDoS, or SIEM
• Interest and/or experience in big data storage, processing, and analytic methodologies and techniques like relational databases, NoSQL, ETL, business intelligence, Hadoop, data science, or machine learning.
• Experience managing a security event, including managing customer expectations and delivering results.
• Knowledge of incident response workflows and processes.

• Expertise - Collaborate with AWS field sales, pre-sales, services teams, training and support teams to help partners and customers learn and use AWS services in Analytics area, especially in data warehouse and data lake technologies.• Solutions - Deliver one to many sessions to enable the internal/external teams, support key analytic engagement in GCR, develop reusable technical solutions/contents from AWS services, and harvest valuable assets as landing zones, and cooperate with global team to drive more customer obsession services on AWS.• Entablements - Engagements include short on-site projects proving the use of AWS services to support analytic solutions that often span across different services. Engagements may include migration of existing applications and development of new applications using AWS cloud services.• Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the Great China Region as well as worldwide AWS solution architect community
Key job responsibilities
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.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
- 4+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Familiar with services and products related to data analysis, for example: Redshift, EMR, OpenSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.
- Experience in deploying and maintaining big data projects.

Your broad responsibilities will include: owning the technical engagement and ultimate success around specific implementation projects, and developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform.Key job responsibilities
· Scope each customer engagement, with attention towards clear and well-defined objectives and success criteria.· Own each technical engagement, and help ensure a timely and successful delivery of value. (delivery of actual solutions to be done by AWS partners)· Capture and share best-practice knowledge amongst the solution architect community.· Understand the AWS market segments, customer base, and industry verticals.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.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
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Key job responsibilities
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.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
- Bachelor's degree or equivalent
- 8+ years of experience in sales, business development, partnership management, or sourcing new business experience, ideally in cloud computing, software, or IT industries. Demonstrated ability to engage with enterprise customers and develop trusted relationships. Deep understanding of software procurement processes in China, including procurement best practices, legal and compliance considerations. Strong technical background with particular expertise in cloud-related technologies. Comfortable working independently and cross-functionally across sales, solution architecture, legal, finance, and product teams. Experience using data and metrics to determine and drive improvements.

Key job responsibilities
Amazon Web Services (AWS) is looking for an experienced Data and AI Specialist Solutions Architect, who will be the Expert for designing architectures that leverage AWS Data services including DocumentDB, Neptune, OpenSearch and other open-source data products. You will partner closely with the Data Services team, Business Development, and Sales to enable large-scale customer use cases and drive the adoption and revenue of AWS. You will work with the largest companies in the world to design flexible and cost-effective cloud-based Data and AI solutions. You will develop white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage AWS Data and AI services. You will also help account SAs to understand how to integrate AWS Data and AI services into customer architectures.
The ideal candidate will have rich experience in Data and AI projects. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.
A day in the life
· ¬Be the recognized authority for Data subject matter expertise across AWS.· Provide definitive guidance for customers in choosing the right Data services and approaches in different AI scenarios.
Diverse 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
- 5+ years design and implementation experience with Database and Analytics projects.
- 2+ years design and implementation experience with AI projects.
- Technical degrees in computer science, software engineering; .
- Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.

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