Applied Scientist I
Amazon — Hyderabad, Telangana
₹5–15 LPA (HireSetu estimate) · 0–2 yrs exp · Freshers eligible · Full-time · onsite
HireSetu listing reference 60ae5b — confirm requirements below, then apply on the employer site.
Quick answer: An entry-level scientist title carrying a research-grade bar, onsite in Hyderabad. Two details define it: you write production code that goes through review, and SQL against an RDBMS sits in the basic qualifications, so pulling and shaping your own data is part of the job.
From Amazon's job posting
Applied Scientist I
Job ID: 10565196 | ADCI HYD 13 SEZ
Description
Are you passionate about solving complex problems with machine learning and scientific rigor? As an Applied Scientist I at Amazon, you will translate real-world business challenges into well-defined scientific problems and build solutions that directly benefit customers. You will work alongside experienced scientists and engineers, applying your expertise in areas such as natural language processing, computer vision, or robotics to design experiments, develop models, and deliver production-ready code. This is a role where your curiosity and technical depth will drive meaningful impact from day one.
Key job responsibilities
- Design, develop, and implement machine learning models and algorithms to solve well-defined business problems, mapping business goals and metrics to scientific approaches and evaluation criteria.
- Write secure, stable, testable, and maintainable production code, applying state-of-the-art data structures and algorithms while following software development best practices at a high quality bar.
- Conduct rigorous experiments to evaluate model performance, benchmark results against current research, and iterate on solutions to improve accuracy and customer outcomes.
- Collaborate with team members to scope technical approaches, communicate findings through internal research reports, and contribute to peer-reviewed publications when aligned with business needs.
- Stay current with research trends in your area of expertise, champion the adoption of recent scientific advancements, and help onboard and mentor scientist interns.
A day in the life
You might start your morning reviewing experiment results from a model you trained, analyzing performance metrics and identifying areas for improvement. After a design discussion with your team, you refine your approach and push updated code for review. In the afternoon, you read a recent research paper recommended by a senior scientist, exploring whether a new technique could improve your current solution. You wrap up by documenting your methodology so teammates can understand and build on your work.
About the team
Our team is focused on applying scientific methods and machine learning to solve problems that matter to Amazon's customers. We value rigorous experimentation, clear communication, and a collaborative environment where scientists at every stage of their career can grow. We are building toward solutions that push the boundaries of what is possible, and we are looking for curious, thoughtful scientists who want to contribute to that mission and learn alongside a supportive group of peers.
Basic Qualifications
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Preferred Qualifications
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Text from Amazon's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
The data work is yours
SQL and an RDBMS appear in the basic qualifications, listed above anything about machine learning. That placement matters. You are expected to query the warehouse yourself instead of asking an engineer for a table. Revise joins, window functions, grouping and how to read a query plan.
Python or Java comfort carries equal weight. The responsibilities talk about secure, testable, maintainable code and a high review bar, so a notebook that produced good numbers won't be enough on its own. Have one project where you can talk through both the modelling choices and how you organised the code around them.
Publications are preferred, and the role includes contributing to peer-reviewed papers. If you have a paper, a thesis or a strong applied project, lead with it.
Sorting out the actual work
The listing names natural language processing, computer vision and robotics as possible areas, and the team description stays general. Ask which of those this group works on, and what a first project would look like.
Then ask how the week splits between research and shipping, and whether a paper written alongside a product launch counts in your review. Mentoring interns sits in the responsibilities, so ask how that's assigned and when it starts.
The job is onsite in Hyderabad. Ask about the team's core hours and how many days people are in together, since experiment reviews and design discussions are easier to run when the group overlaps.
Drafted with AI from Amazon's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open Amazon's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
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