Sr. Applied Scientist, WWOS Tech

Amazon Inc.; Karnataka; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Amazon Inc. is seeking an Applied Scientist to tackle theft and fraud across its global supply chain. You will own business challenges from day one, using data-driven decisions to impact fraud investigations and customer experience.

The role demands a high-potential, analytic graduate (PhD preferred) with experience in ML model development, big data, and scalable systems, capable of independent decision-making in ambiguous environments.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Own KPIs that measure theft/fraud management performance and efficiencies.
• Detect and automate theft, fraud MOs.
• Detect organized crime rings and bad actor clusters.
• Perform end-to-end evaluation of operational defects, system gaps, and scaling challenges.
• Contribute to overall fraud management and product development strategies.
• Present key learnings and vision to stakeholders and leadership.
• Integrate ML detection models via software applications.

Skills

ML model development

Fraud detection knowledge

Python

Java/C++

Data analysis

Education

PhD in Research/Statistics/Engineering/Supply Chain

Master's degree + 6+ years applied research

Tools

Hadoop

Spark

TensorFlow

MxNet

scikit-learn

Job description

Have you ever wanted to solve a mystery or be part of solving a case? Are you fascinated by detective stories or crime shows on TV? Do you love to catch bad actors, build ML models and solve complex problems. If so, working on the WWOS Tech team as an Applied Scientist is the place for you!

We detect theft, fraud and organized crime happening across our global supply chain and operations for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the cost savings of Amazon's inventory losses.

The primary role of an Applied Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on all the fraud investigations happening across Amazon operations.

Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in ( Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of building fraud detections, detecting organized crime and the ability to use data and research to make changes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.

Key job responsibilities

• Own KPIs that measure theft/fraud management performance and efficiencies.
• Detect and automate theft, fraud MOs
• Detect organized crime rings and bad actor clusters
• Perform end to end evaluation of operational defects, system gaps, and scaling challenges (both system and operational).
• Contribute to the overall fraud management and product development strategies.
• Present key learnings and vision to stakeholders and leadership.
• Integrate ML detection models via software applications

About the team

We believe that building a culture that is welcoming and inclusive is integral to people doing their best work and is essential to what we can achieve as a company. We actively recruit people from diverse backgrounds to build a supportive and inclusive workplace. Our team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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.