דרושים Sr Applied Scientist Campaign Creative ב-אמזון ב-India, Manesar

You possess demonstrated public sector proposal management and proposal writing experience; are highly determined and motivated in driving teams towards defined (and often rushed and high-visibility) deliverables; and have the proposal process development background necessary to effectively support a dynamic and rapidly growing business. You should have industry background that enables you to develop win themes and technical discriminators for inclusion into proposals, a contracts background that enables you to easily interact with legal staff, as well as a technical background or familiarity that enables you to easily interact with technical and business leaders. You should also be able to think strategically about AWS’s mission, products, and technical challenges, with the demonstrated ability to build and convey compelling value propositions in a written context. You should be familiar with Indian Market acquisition guidelines and experienced with any regional tender compliance requirements. Finally, you should be willing to support often-grueling and aggressive proposal timelines and commitments.
Key job responsibilities
- Support proposal responses on complex, strategic opportunities, and supporting partners on indirect deals.
- Understand and navigate contracting vehicles and tender procedures.- Develop win themes and technical discriminators specific to RFx opportunities.
- Validate RFx response requirements and ensure proposal compliance.
- Hold kick-off discussions/meetings for critical proposal efforts to discuss overall messaging, flow, and common themes, and conduct regular check-ins with authors of critical sections.
- Provide input to a library of approved proposal content for quick-turnaround opportunities.
- Moderate travel will be required.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 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

- BS degree, or BA degree
- 5+ years of responding to requests for proposals (e.g., determining requirements, matching requirements to technical approach and solutions, developing solutions against requirements) experience
- 4+ years of working directly with government officials and regulatory bodies experience
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Strong project management skills.

- Experience with government procurement and contracting process
- Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround, or experience in a fast-paced, high-tech company
- Experience communicating and presenting to senior leadership
- Advanced degree, or Bachelor's degree

Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be pick from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications.Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services.You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.

- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or PhD

Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be pick from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications.Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services.You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.

- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

Sales, Marketing and Global Services (SMGS)
We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.As well as spending time working directly with customers, you’ll also get plenty of time to “sharpen the saw” and keep your skills fresh. We have more than 175 services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll get the chance to share your knowledge more broadly by working on technical content and presenting at events.A day in the life
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.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 12+ years of IT development or implementation/consulting in the software or Internet industries experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of AWS services, market segments, customer base and industry verticals
- Experience working with end user or developer communities

- Have strong technical breadth with depth in key areas. The ideal candidate will have experience working across multiple AWS services and understand the unique requirements of ADC environments. You understand the architectures, interactions, and dependencies of services in your scope and can serve as a point of contact for a subset of these services.- Think systematically. The ideal candidate will identify opportunities to improve efficiency and reliability across ADC operations. You will help define and implement standardized workflows that can scale across multiple regions and services.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
You are an autonomous contributor supporting operational workflows in ADC regions, meeting established SLA's while maintaining security requirements. You use your technical expertise to solve complex operational issues, working independently while knowing when to seek guidance or escalate. You understand ADC architectural differences and their operational implications, serving as a point of contact for services and workflows.You create and maintain documentation, runbooks, and processes while reviewing others' contributions. You identify operational deficiencies in ADC implementations and investigate systemic patterns to determine appropriate mitigations. Your strong diagnostic and troubleshooting skills are applied to resolve ADC-specific issues, leveraging your deep knowledge of AWS services and ADC requirements.Utility Computing (UC)Work/Life Balance
Mentorship 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.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.

- 1+ years of systems administration experience (Linux/Windows).
- Experience working with scripting languages.
- Excellent communication skills and the ability to work well in a team.
- In lieu of above relevant work experience, degree in Computer Science, Engineering or a related field.
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- 1+ years experience with cloud computing technologies.
- 1+ years of networking experience.
- 1+ years of experience with support procedures and methodologies for production computing environments.
- Experience automating routine tasks.
- Experience with performance and log analysis.

Key job responsibilities

- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be pick from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications.Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services.You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.

- 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
- PhD, or a Master's degree and experience building machine learning models or developing algorithms for business application
- Significant peer reviewed scientific contributions in relevant field
- Extensive experience applying theoretical models in an applied environment
- Expertise on a broad set of ML approaches and techniques
- Prior Experience in Transportation Logistics business
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts