Data Scientist II, Last Mile Science

Amazon Science

Bengaluru

On-site

INR 1,200,000 - 2,400,000

Full time

7 hours ago
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Job summary

Amazon Science in Bengaluru seeks a data science professional to improve one of the world's most complex logistic systems by sifting through data sources to identify opportunities and deliver data-driven insights that guide decisions across teams.

Join the Last Mile Routing & Planning organization building software, algorithms and tools for global delivery decisions, including routing, scheduling, and forecasting, leveraging OR, ML and Generative AI methods.

Qualifications

  • 2+ years in data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
  • 2+ years of data querying languages (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

Responsibilities

  • Apply algorithms and synthesize information to identify business opportunities and provide data-driven insights
  • Communicate business and technical requirements within the team and across stakeholders
  • Collaborate with scientists and engineers on research areas like vehicle routing, planning for electric and autonomous vehicles, fleet planning and forecasting
  • Map models into production-ready code in Python or Java and explain complex approaches to various stakeholders

Skills

Data analysis
Statistical modeling
Communication
Machine Learning
Operations Research
Data-driven decision making

Education

Master's degree in quantitative field
Bachelor's degree +5 years in quantitative field
PhD in quantitative field

Tools

SQL
Hadoop/Hive
Python
Java
Perl

Job description

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!


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


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.

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