דרושים Data Science Manager Payment Acceptance & Experience Pae ב-אמזון ב-United States, Seattle

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
As a senior systems development engineer, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for phased array antennas validation and test, as well as overall system integration:- Develop tools for characterizing antenna RF and system performance.
- Develop software and test rack automation to support production test stations.
- Support electrical and software bring-up, debug of new hardware.- Plan, develop and implement environmental test activities for phased array antennas.
- Implement DSP FPGA firmware to map high-level algorithms from Matlab or C to architecture-specific code.

- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 5+ years of experience with C/C++ and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab with oscilloscopes, signal generators, power supplies, and other test equipment

- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- Knowledge of FPGA systems, GPIO/I2C/SPI and peripheral interfacing.
- Experience with RTL and FPGA development tools
- Experience with Matlab or tools alike
- Knowledge of Database systems

Key job responsibilities
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders

- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application 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: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

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

Explore the Product:
A day in the life

- B.S. in Computer Science or related field
- 5+ years as a software engineer
- 5+ years of engineering team management experience
- Proven track record in new hardware chip bring-up
- Deep knowledge of backend compiler architecture, including, lowering, control-flow management, DMA optimization, and code generation

- M.S. or Ph.D. in Computer Science or related technical field
- Experience with LLVM and LMIR
- Experience with deep learning models and algorithms.

This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed.Key job responsibilities
Contribute to AAIS portfolio strategy development, architecting comprehensive strategies and analytics frameworks to drive data-driven decision making across regions.Design and implement field and partner enablement programs, including training, and engagement models to transform sales effectiveness through innovative technology solutions.Partner cross functionally to develop and maintain measurement frameworks to evaluate initiative and program effectiveness.Develop geo-specific GTM plans and "Get to Green" plans, implementing scalable mechanisms that drive organizational effectiveness across multiple regions.Build strategic relationships with field and partner leadership, serving as a primary liaison between AAIS GTM leaders and regional stakeholders.Foster organizational alignment through effective communication of strategy and goals across all levels, driving proven results.Roll up sleeves and build sophisticated data models and data analysis as needed.
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 GrowthWe’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 developing, negotiating and executing business agreements experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with sales enablement platforms

- Experience interpreting data and making business recommendations
- MBAPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About Sponsored Products and BrandsKey job responsibilities
As an Applied Science Manager, you will:* Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
* Develop science and engineering roadmaps for SPB ads response prediction with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications.
* Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
* Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.

- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language

Explore the Product:
A day in the life
About this hiring group

- B.S. or M.S. in Computer Science or related field
- 5+ years of engineering team management experience
- Experience partnering with product management
- Strong knowledge of developing and/or managing simulation software
- Solid understanding of compilers (specifically, resource management, instruction scheduling, code generation, and compute graph optimization)

- M.S. or Ph.D. in Computer Science or related technical field
- Experience with and deep learning models and algorithms.
- Experience with LLVM, LMIR
- Interactions with open-source communities

Key job responsibilities
In this role, you will:
- Analyze complex healthcare data to identify patterns, trends, and insights
- Develop and validate statistical methodologies
- Create and maintain analytical frameworks
- Provide recommendations on data collection strategies- Design and implement statistical analyses to validate analytical approaches
- Present findings to stakeholders and contribute to scientific publications- Design and implement causal inference analyses to understand underlying mechanisms
- Develop frameworks for identifying and validating causal relationships in complex systems
- Work with stakeholders to translate causal insights into actionable recommendationsA day in the life
You'll work with large-scale healthcare datasets, conducting sophisticated statistical analyses to generate actionable insights. You'll collaborate with Applied Scientists to validate model predictions and ensure statistical rigor in our approach. Regular interaction with product teams will help translate analytical findings into practical improvements for our services.

- MS or PhD in Statistics, Biostatistics, Data Science, or related quantitative field
- 5+ years of experience applying statistical methods to healthcare data
- Proficiency in Python, R, or similar programming languages for data analysis
- Experience with statistical modeling and analysis of longitudinal data
- Strong background in experimental design and hypothesis testing
- Demonstrated expertise in handling large, complex datasets

- PhD in Statistics, Biostatistics, Data Science, or related quantitative field
- Experience analyzing healthcare data
- Knowledge of healthcare industry regulations and processes
- Familiarity with healthcare data standards
- Publication record in relevant scientific journals
- Experience with distributed computing platforms
- Strong communication skills and ability to present technical concepts to non-technical audiences
- Familiarity with healthcare data standards
- Experience applying causal inference frameworks to real-world problems
- Familiarity with modern causal discovery and inference techniques
- Knowledge of counterfactual analysis methods