Senior Research Scientist - Machine Learning and Logistics Optimization

Amazon India Limited; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amazon India Limited is seeking a Research Scientist III in Last Mile Science to tackle complex logistics challenges using advanced machine learning and data-driven approaches. You will own end-to-end model development, from research to deployment, impacting delivery experiences and operational efficiency.

The role requires experience in ML, deep learning, and programming across Python/C++/Java, with strong communication and the ability to handle ambiguity in a fast-paced environment.

Qualifications

• 3+ years building ML models for business applications.
• Experience with languages such as C/C++, Python, Java or Perl.
• Experience with neural deep learning methods and machine learning.
• PhD in engineering, tech, CS, ML, robotics, OR stats or similar field.

Responsibilities

• Build and deploy machine learning models for logistics problems.
• Work on large-scale data sets for scalable models.
• Collaborate with cross-functional teams to implement ML solutions.
• Contribute to research and product development in last-mile science.

Skills

Machine learning

Python

C/C++

Java

Deep learning

Data analysis

Education

PhD

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

• 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 with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow
• Experience with large scale distributed systems

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 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
• 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
• Track record of successful projects in algorithm design and product development.
• prior experience with mentorship and/or management of scientists
• Thinks strategically, but stays on top of tactical execution.
• Exhibits excellent business judgment; balances business
• Effective verbal and written communication skills
• Experience working with real-world data sets and building scalable models from big data.
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow,
• Experience with large scale distributed systems

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Experience Level

Senior Level