Research Scientist III, Last Mile Science

Amazon Inc.; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Amazon is seeking a Research Scientist III in Bengaluru to tackle complex logistics challenges with data-driven solutions. You will own projects that optimize delivery networks, build scalable models from big data, and influence operational decisions across the last mile.

The ideal candidate has a PhD or Master’s, 3+ years in ML and deep learning, and proficiency in Python/C++/Java, with strong communication and strategic thinking.

Qualifications

• PhD or Master's degree required.
• 3+ years building ML models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.
• Strong knowledge of statistics and mathematics fundamentals.

Skills

Machine learning

Deep learning

Programming

Big data

Statistics

Communication

Education

PhD or Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

Job description

Research Scientist III, Last Mile Science

Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications.

Basic Qualifications

• PhD, or Master's degree
• Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
• 3+ years of building machine learning models for business application experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• 5+ years of extensive relevant research experience
• Deep expertise in Machine Learning
• Proficiency in programming
• Core competency in mathematics and statistics
• Track record of successful projects in algorithm design and product development
• Publications at peer-reviewed conferences or journals
• Strategic thinker with good execution skills
• Exhibits excellent business judgment
• Effective verbal and written communication skills
• Experience working with real-world data sets and building scalable models from big data
• Experience working with real-world data sets and building scalable models from big data.
• Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow
• Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow,
• Experience with large scale distributed systems
• 3+ years of applied research experience
• Knowledge of deep learning, machine learning and statistics
• Knowledge of mathematical/statistical/physics fundamentals
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• prior experience with mentorship and/or management of scientists
• Thinks strategically, but stays on top of tactical execution.
• Exhibits excellent business judgment; balances business

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.

Based on your recent activity, you may be interested in:

Location: ES, Community of Madrid, Madrid

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.