Data Scientist Sheriff Team- Payroll Tech -finauto jobs at Amazon in India, Hyderabad

Key job responsibilities
In this role, you will:
1. Develop and maintain of key features of the system.
2. Work with team members to devise design approaches, prototype new technology and evaluate technical feasibility.
3. Work in an Agile/Scrum environment to deliver high quality software against tight schedules.
4. You will apply knowledge of technology options, technology platforms, and design techniques and approaches to design an integrated solution to address business requirements.5. You will interface with other engineers on the team for peer reviews and with a diverse set of customers (Program Managers, business stakeholders etc.) on understanding business objectives, gathering requirements and delivering solutions.

- 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
In this role, you will:
1. Develop and maintain of key features of the system.
2. Work with team members to devise design approaches, prototype new technology and evaluate technical feasibility.
3. Work in an Agile/Scrum environment to deliver high quality software against tight schedules.
4. You will apply knowledge of technology options, technology platforms, and design techniques and approaches to design an integrated solution to address business requirements.5. You will interface with other engineers on the team for peer reviews and with a diverse set of customers (Program Managers, business stakeholders etc.) on understanding business objectives, gathering requirements and delivering solutions.

- 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

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.The position responsibilities will include scaling support of several data center locations of ADSIPL in India and be responsible for day-to-day assistance with capacity management. The Network Technician will work closely with both internal customers of ADSIPL and external vendors to facilitate smooth project execution as directed by Technical Program Managers.The ideal candidate should be highly autonomous, very detail oriented, possesses strong written and verbal communication skills and has significant experience in supporting large scale, enterprise class networks. Excellent network implementation and troubleshooting skills combined with a proven documentation methodology is also required. Strong written and verbal communication skills and an ability to interact efficiently with peers and customers are required. The desire and ability to work in a fast paced, collaborative environment is essential. In addition to providing top-tier management and support of Amazons vast network infrastructure, Network Technicians are expected to build or enhance tools, develop best practices, refine operational procedure and constantly think proactively and innovativelyKey job responsibilities
As ID Network Technician key responsibilities will include following :
1. Leads multiple concurrent projects by coordinating
project activities, communicating withand resolving unmet dependencies through
engaging with external stakeholders.
2. Estimate project requirements in terms of time, cost and resources
3.Participate in the installation, migration, basic configuration and rollout of new or upgraded hardware.4. Troubleshoot network or physical component issues as needed during deployment.
5. Communicate with stakeholders and share regular updates.
6. Up to 20% travel may be required
application interaction
About the team
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.

- 1+ years of computer networking experience
- 1+ years of Linux operating systems experience
- Bachelor's degree in Information Technology, Computer Science, or a related field
- Experience in computer networking
- Experience working with Linux operating systems
- Can lift and rack equipment up to 40 pounds
- Experience with computer hardware troubleshooting and repair

Key job responsibilities
• Lead documentation improvement initiatives across multiple operational processes
• Collaborate with cross-functional teams to update and maintain knowledge management systems
• Support business intelligence and data analytics projects
• Assist with system configurations and operational support
• Manage and track issue resolution across various platforms
• Partner with logistics service providers on operational improvements
A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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

- • Currently enrolled in a Bachelor's or Master's degree program in Supply Chain Management, Logistics, Business Analytics, Engineering, or related field
- • Strong analytical and problem-solving skills
- • Excellent written and verbal communication abilities in English
- • Experience with data analysis and process documentation
- • Proficiency in Microsoft Office suite

- • Previous internship experience in program management, supply chain operations, and/or technical documentation
- • Familiarity with wiki platforms and documentation systems
- • Working knowledge in business intelligence/analytics (e.g. SQL, Python, etc.)
- • Experience in global transportation and/or logistics operations
- • Strong organizational skills with ability to manage multiple priorities

An ideal candidate will be an expert in the areas of machine learning, operations research, and statistics. With expertise in applying theoretical models in an applied environment relying heavily on the latest advances in machine learning, optimization, stochastic modeling, and engineering. The candidate will be expected to work on numerous aspects, such as feature engineering, modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models. Challenges will involve dealing with very large data sets and requirements on throughput.Key job responsibilities
- Create experiments and prototype implementations of new learning algorithms and prediction techniques

- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 3+ years of building machine learning models or developing algorithms for business application experience
- 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- 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 patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in professional software development
- Experience implementing algorithms using toolkits and self-developed code

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 5+ years of building machine learning models or developing algorithms for business application experience
- Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members

This is a technical lead role responsible to design, implement and scale: (1) Security and Governance to protect sensitive data, define access controls ensuring compliance with regulatory requirements, (2) Permissions strategy, (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks, and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.Key job responsibilities
- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design, data modelling and data extracts/transforms.
- Build and manage ML pipelines, adapting CI/CD practices, model deployment, orchestration.- Define technical requirements for Data Engineering teams.
- Work in a genuinely global environment.

- Data engineering credentials.
- Advanced analytical skills and is detail-oriented, while also seeing and understanding the big picture.
- UI and UX design experience.
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities- Design and develop state-of-the-art approaches to solving complex and ambiguous problems
- Cultivate engineering and operational excellence through metrics and continuous learning
- Mentor and grow others to take on increasingly higher responsibilities
- Help raise the bar on technical excellence
- Show thought leadership
- Communicate proficiently and concisely to different audiences

- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)
- 3+ years of managing system or software development teams experience
- 5+ years of professional software development or systems engineering experience
- 2+ years of experience working with engineering teams to deliver software requiring coordination between multiple teams in disperse functional groups
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Experience delivering technology products or services in a high growth environment
- Experience using quantitative data and metrics to communicate ideas.
- Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience in a fast-paced, high-tech company
- Experience managing large technical programs, particularly at high growth startups or large enterprises
- Ability to take raw product requirements and create system architectures and designs to bring them to life.