Senior Applied Scientist Books Content Experience jobs at Amazon in India, Bengaluru

Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

- 4+ years of SQL experience
- 7+ years of business intelligence and analytics experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich Documents using deep learning, NLP and image processing . The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research, prototype, design, coding and deployment.
We are looking for Applied Scientists to tackle challenging problems in the areas of high scale data processing, quality & natural language based information retrieval from data . You will encounter many challenges, including- Accuracy (High precision and recall requirements) in deduplication and anomaly detection
- Diversity (models need to work across different data formats, languages, and sources)
You will help us to
- Build scalable systems for intelligent catalog management using ML/AI-based deduplication and entity resolution
- Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets.
- Build knowledge graph-based solutions to enhance data relationships and improve consumption of structured and unstructured data for consumers at scale.Key job responsibilities- Design, develop, evaluate and deploy, innovative and highly scalable ML models- Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance
- Leading projects and mentoring other scientists, engineers in the use of ML techniques

- 3+ years of building models for business application experience
- PhD, or Master's degree
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

JOB SUMMARY The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project leadership skills to drive successful implementations of AWS-based solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework while demonstrating technical credibility across diverse stakeholders, you will distill customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact. Possessing strong technology and program/project management experience, you will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you’ll lead increasingly complex technical projects, shape cross-organizational technical strategies, and establish best practices in your domain. In this role you will apply your management and leadership capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, escalate when appropriate, and drive projects to successful completion, while exceeding customer expectation The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key job responsibilities
As an experienced technology program/project manager, you will be responsible for:
Leading and managing complex cloud migration and implementation projects
Leveraging comprehensive knowledge of AWS services, architectures, and best practices to guide technical decisions and strategic planning
Bridging business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes Distilling customer needs into clear technical requirements and map them to business outcomes
Decomposing complex technical problems into actionable, deliverable solutions
Contributing to technical documentation and define documentation standards

- Experience with the project management of technical projects
- Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

- AWS experience preferred
- Project Management Professional (PMP) and/or AWS Certified Solutions Architect - Associate
- Strong understanding of AWS services, architectures, and best practices
- Experience applying AWS frameworks like Well-Architected and Cloud Adoption Framework
- Proven ability to establish technical credibility with engineering teams and senior technical decision-makers

This role might be for you if...
- You design at the product level with heavy involvement through all phases of the SDLC using concepts that may include Service Oriented Architecture, caching, load balancing, relational and non-relational databases, micro services, n-tiered architecture, cloud and/or map-reduce.
- You use object-oriented design concepts to program large multi-tier systems. You have working knowledge of common and useful design patterns.
- You have designed, refactored, re-architected, deprecated and/or implemented large-scale cloud-based distributed services with millisecond latency and high transactional volumes.- Effectively articulate technical challenges and solutions to non-technical audiences.Key job responsibilities
- Experiment with whatever technology we need to get the job done.
- Use Test-Driven Development and Continuous Deployment.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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

Key job responsibilitiesA day in the life· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.
· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.
· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing
· Contribute through industry first research to drive the innovation forward.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

- Design, development, evaluate and deploy innovative and highly scalable models for predictive learning- Research and implement novel machine learning and statistical approaches- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation- Mentor other scientists and engineers in the use of ML techniques
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
- Proficient in any two of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks.