Senior Applied Scientist Fintech Atari jobs at Amazon in United States, Jersey City

Key job responsibilities
• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
• Design and implement large scale reporting solutions enabling stakeholders to manage the business and make effective decisions.
• Design and implement robust data models to automate generation of data driven actionable insights across multitude of AWS services.
• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
• Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users.
• Define and drive team analytical strategy to best support business leaders and executives’ strategic decisions.
•. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders
• Employ Gen AI, segmentation, forecasting and other analytical techniques to capture important trends
• Mentor junior engineers on the team with industrial standards and best practices.

- • Bachelor's Degree in Information System, Computer Science, or a related technical field.
- • 8+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- • 5+ years of experience with data visualization using Tableau, Quicksight, or similar tools
- • 5+ years of experience with data modeling, warehousing and building ETL pipelines

- • Experience with AWS technologies such as EC2, DynamoDB, S3, and Redshift
- • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- • Extensive experience working directly with business leadership and executives.

If you are a software engineer who is obsessed about giving customers the best possible developer experience, would like to work with C/C++, and is excited about building open-source software in a agile environment, this is the job for you.We are looking for engineers who can work with C on day to day basis, are knowledgeable in other languages (e.g. Java, Python, Typescript, or Python), and be engaging with open source community. You will be a good fit if you want to enable other developers to build amazing products on top of AWS.

- 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 responsibilities

- 8+ years of non-internship professional software development experience
- 8+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 8+ 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

In this role, you'll collaborate closely with customers to enable large-scale implementations and accelerate adoption of advanced AWS services. You'll partner with field Solution Architects to provide guidance on customer engagements, while creating white papers, blogs, reference architectures, and presentations that empower customers to fully utilize AWS capabilities.Key job responsibilities- You will have the technical depth and business experience to deploy storage and data strategies
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.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 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

- 8+ years of specific technology domain areas (e.g. storage, cloud computing, systems engineering, infrastructure, networking, data protection) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant 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 artifacts
About the team
About AWS:
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 and implementation,
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years of experience leading design, configuration and implementation of cloud services across at least 3 major categories (e.g., compute, storage, networking, database)
- 3+ years of experience in scripting and/or coding using Python, Java, Bash, or PowerShell.

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical
- Experience with HPC/HTC/Technical Computing software applications from at least one of the main Engineering/Research verticals like Life Sciences, Financial Services, Energy & Geosciences, Manufacturing, Automotive
- Strong practical Linux and Windows-based systems administration skills in a Cloud or Virtualized environment

You will collaborate closely with cross-functional business and engineering teams to identify and deliver high-impact use cases for Generative AI. You will design, develop, and evaluate Generative AI models and agents. You will partner with engineering teams to ensure seamless model deployment and integration into production systems, while also driving continued scientific innovation as a published thought leader and practitioner.You will mentor and develop junior scientists and engineers, fostering a culture of continuous learning and improvement. You will contribute to the broader research community by publishing your work in peer-reviewed conferences and journals.Work/Life Balance

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ 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.
- Track record of publications in top-tier machine learning conferences or journals

Key job responsibilities

- 8+ years of non-internship professional software development experience
- 8+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 8+ 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