Sr. Applied Scientist, Trans.AI – Job ID: 2190744 | ADCI – BLR 14 SEZ – IN, KA, Bangalore

Amazon

  • Full Time

DESCRIPTION

Job summary
Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network.

Core Transportation Technology (CTT) is hiring Senior Applied Scientists to help improve our ability to plan and execute package movements. As a Senior Applied Scientist of CTT, you will lead an innovative team of scientists who use Machine Learning to create state-of-the-art solutions for Amazon customers. You will analyze and model terabytes of data to solve real-world problems. You will own end-to-end business problems/metrics and directly impact the profitability of the company. Your models will predict the shipping cost at Day 1 and help improve quality of upstream data (such as through corrections to weights and dimensions in product catalog). Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) 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.

Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. Your model choices will include, but not be limited to, generalized linear models , tree ensembles, deep learning architectures like MLPs and transformers, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will be leading high impact business projects and mentoring other scientists, engineers in the use of ML techniques. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel and truck movements). Your models are expected to be of production quality, and will be directly used in production services.

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.

BASIC QUALIFICATIONS

1) Masters with 8+ years OR PhD with 3+ years of applied work experience in Computer Science, Machine Learning, Statistics, Information Retrieval or a related field
2) Proficiency in algorithm and model development, model validation and model implementation for large-scale applications in the streaming domain
3) Experience in dealing with ambiguity and competing objectives
4) Strong communication and data presentation skills
5) Hands-on experience programming in Python, R, Java or similar programming languages

PREFERRED QUALIFICATIONS

1) Experience of working with large scale data on distributed system using languages like Spark, Scala, etc.
2) Publications in top-tier conferences and journals

Job Overview