Data Scientist

2 days ago

Gurgaon, Haryana, India Amazon Development Centre (India) Private Limited Full time
About the Role

As an Applied Scientist at Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. Your primary focus will be on building ML models to help our transportation cost auditing platforms effectively audit off-manifest discrepancies between planned and actual shipping costs. You will also build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Additionally, your models will help forecast the packages required to be picked from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network and outside, such as weather signals, you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions and generating proactive customer notifications.

Key Responsibilities

- Refine and translate Transportation domain-related business problems into one or more Machine Learning problems.
- Use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised, and reinforcement learning.
- Employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions and package movement types.

Requirements

- Experience programming in Java, C++, Python, or related languages.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Preferred Qualifications

- PhD or a Master's degree and experience building machine learning models or developing algorithms for business applications.
- Significant peer-reviewed scientific contributions in relevant fields.
- Extensive experience applying theoretical models in an applied environment.
- Expertise on a broad set of ML approaches and techniques.
- Prior experience in Transportation Logistics business.
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

About Amazon Shipping

Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest discrepancies between planned and actual shipping costs. You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be picked from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network and outside, such as weather signals, you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions and generating proactive customer notifications.

What You Will Do

You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers, and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.

Why Amazon Shipping

Amazon Shipping is a dynamic and fast-paced environment that requires innovative thinking and problem-solving skills. As an Applied Scientist, you will have the opportunity to work on complex machine learning problems and develop solutions that will impact the entire organization. You will be part of a team that is passionate about using data science and machine learning to drive business growth and improve customer experience. You will have the opportunity to work with a diverse group of talented individuals who are experts in their fields and are passionate about using data science and machine learning to drive business growth and improve customer experience.

What We Offer

- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
- Access to cutting-edge technology and tools.
- Opportunities to work on complex and challenging projects.
- Recognition and rewards for outstanding performance.

How to Apply

If you are excited about this opportunity, please submit your application with your resume and a cover letter explaining why you are a strong fit for this role.

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