דרושים Senior Data Scientist Aws Gen Ai Innovation Center ב-אמזון ב-Mexico, Mexico City

In this role, you'll be at the forefront of designing and implementing BI solutions for Amazon Marketplace. Your expertise will be crucial in transforming complex data into actionable insights, driving data-driven decision making across the organization. You'll develop and execute BI roadmaps, collaborating with stakeholders from various teams to ensure our marketplace continues to grow and succeed in the LATAM region.Key job responsibilities
Data Analysis & Management- Write and optimize SQL queries to extract and analyze complex datasets
- Develop and maintain ETL processes for reporting solutions
- Ensure data quality, consistency, and accuracy across local and global platformsCollaboration & Strategy- Transform business requirements into effective analytical solutionsTechnical Infrastructure
- Manage local data infrastructure and reporting systems
- Implement best practices for data storage, retrieval, and analysis
- Ensure system performance and reliability

- 10+ years of professional or military experience
- 6+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience managing, analyzing and communicating results to senior leadership
- Experience building measures and metrics, and developing reporting solutions

- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Knowledge of data warehousing and data modeling

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.This is a Fixed term contract.

- High school or equivalent diploma
- Experience with language annotation and other forms of data markup
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- Experience communicating research findings and analysis in both written and spoken channels
- Experience writing business requirements documents, functional specifications, and use cases
- Experience working in a fast paced, quickly changing or international environment
- Proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Good understanding of Dutch and U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM

- Bachelor's degree, or experience in a professional field or military
- Knowledge of HTML, XML, and Excel
- Knowledge of one or more scripting languages (e.g., Python, Ruby, Perl)
- Experience in computational linguistics, language data processing, semantics, or syntax
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common standard text formats such as JSON, CSV, RTF

In this role, you'll be responsible for creating and leading the solution design to address customer business outcomes (CBO). Operating as the conduit between ProServe Account Executives and our Shared Delivery Teams (SDT), you’ll ensure proposed solutions are realistic, achievable, and optimize ProServe and/or our partners to maximize CBOs. As a Sr. PCA you are a trusted advisor to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions to address customer challenges. As a technical SME, you will share knowledge within the organization, through mentoring, training, creation of reusable artifacts and process improvements.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
• Designing complex, scalable, and secure AWS solutions to deliver customer business outcomes (CBOs)
• Providing technical guidance and best practices during pre-sales and implementation phases
• Collaborating with Account Managers and Shared Delivery Teams to ensure proposed solutions are realistic and achievable
• Acting as a trusted advisor to customers on industry trends and emerging technologies
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

- 5+ years of experience in cloud architecture, designing and implementing cloud solutions
- 5+ years of experience in enterprise architecture, design and technical domain
- Experience in external or internal customer facing, complex and large scale project management
- Experience in consulting/service sales, business development and technical Pre-sales experience
- Bachelor's degree, or experience as technical specialist in design and architecture

- Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

Possessing a deep understanding of AWS products and services, as a Senior Data Architect you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.Key job responsibilities
As an experienced technology professional, you will be responsible for:- Deliver on-site technical assessments with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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 of experience in cloud architecture and implementation, preferably with AWS
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 5+ Experience delivering cloud projects or cloud based solutions
- Able to communicate effectively in English, within technical and business settings
- Bachelor's degree in Business, Computer Science, or related field

- 5+ years of external or internal customer facing, complex and large scale project management experience
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

ABOUT THIS ROLE
As a Senior Quality Assurance Engineer, you will...
- Drive the creation and execution of test strategy, test plans, test cases as well as utilize automated tools to optimize the STLC- Review BRD with Product, development engineers for conformity and functionality
- Design, develop, and execute automated test scripts for backend services
- Conduct end-to-end testing for complex backend systems and APIs- Utilize AWS services for testing environments and deployment of test solutions
- Analyze test results and provide actionable insights to improve software quality
- Identify, document, and track defects using appropriate tools- Participate in the development and maintenance of testing frameworks and tools
- Continuously improve QA processes and methodologies to enhance efficiencyABOUT AUDIBLE

- 4+ year of experience working as a Quality Assurance Engineer or SDET
- Experience with rest automation using a programming or scripting language (Java or Python preferred)
- Experience owning the full test strategy through test completion for major components of a software system
- Business fluency in English

Possessing a deep understanding of AWS products and services, as a Data Architect you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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

- 3+ years of experience in cloud architecture and implementation, preferably with AWS
- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 3+ Experience delivering cloud projects or cloud based solutions
- Able to communicate effectively in English, within technical and business settings.
- Bachelor's degree in Business, Computer Science, or related field.

- 3+ years of external or internal customer facing, complex and large scale project management experience
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

Key job responsibilities
- Create data pipelines to combine data from databases, Application Programming Interfaces (APIs), user inputs, and files using SQL, Python, R, and Rust.- Manage projects and communicate with stakeholders.- Create data visualizations and queries for both one-time requests and recurring reports.A day in the life
- You will build and maintain data products using SQL, Python and Amazon Web Services (AWS) with Business Intelligence Engineers (BIEs) and Scientists.- You will create dashboards, tools, automations and alert systems by analyzing data from multiple sources.- You will write code following Amazon security standards to integrate solutions with internal systems.- You will collaborate with tech teams to improve code quality and meet certification requirements.

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Bachelor's degree in sciences, engineering, finance or equivalent
- Experience in the data/BI space
- +3 years of experience in business intelligence or related role
- Fluent in Spanish and English (b2+)
- 2+ years of experience with AWS or similar.
- Writing documents and recommendations for business based on data analysis

- Previous experience working with supply chain or logistics data
- Experience applying optimization models
- AWS Certification