Data Scientist II, Last Mile Science

Amazon; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Amazon is seeking a data scientist to improve its logistics and delivery platforms. You will apply advanced analytics to large-scale problems and translate research into production-ready Python/Java implementations. Expect collaboration across teams to influence decisions and drive impact at scale.

The role emphasizes modeling, data exploration, and communicating insights to stakeholders while advancing state-of-the-art routing and planning techniques.

Qualifications

• 2+ years in data scientist or similar role with data extraction, analysis, statistical modeling and communication experience.
• 2+ years of data querying with SQL/Hadoop/Hive.
• Master's degree or Bachelor's with 5+ years in a quantitative field.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Apply algorithms, synthesize information and identify business opportunities.
• Provide data-driven insights and communicate technical requirements across teams.
• Map models into production-worthy code in Python or Java; work across stakeholder groups.
• Leverage OR, ML and Generative AI methods for large-scale delivery and logistics problems.

Skills

Data analysis

Statistical modeling

Communication skills

SQL/Hadoop/Hive querying

Python

Perl

Education

Master's degree in a quantitative field

Bachelor's degree + 5+ years in a quantitative field

PhD in a quantitative field

Tools

Excel

Job description

Does the thought of improving one of the world’s most complex logistic systems inspire you? Is your passion to sift through hundreds of systems, processes, and data sources to solve the puzzle and identify the next big opportunity? Are you a creative big thinker who is passionate about using data to direct decision making and solve complex and large-scale challenges? Are you fascinated by the interactions between operations and strategy? Do you feel like your skills uniquely qualify you to bridge communication between teams with competing priorities? If so, then this position is for you!

Come help Amazon create state-of-the-art science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the “magic” of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Same Day, Amazon Grocery, Lockers, and other new initiatives across the world.

Key job responsibilities

In this role, your main focus will be to apply algorithms, synthesize information, identify business opportunities, provide data-driven insights and communicate business and technical requirements within the team and across stakeholder groups. You will partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting portfolio of research areas including vehicle routing, planning for electric and autonomous vehicles, district and stops planning, ultra-fast deliveries, fleet planning, and forecasting solutions for different delivery programs leveraging the latest OR, ML, and Generative AI methods, at a global scale. Successful candidates will have a deep knowledge of Operations Research and/or Machine/Deep Learning methods, experience in applying these methods to large-scale business problems, the ability to map models into production-worthy code in Python or Java, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big research challenges.

Basic Qualifications

• 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience
• Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience in modeling (Excel) and data analyses

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