Sr. Data Scientist

Amazon Web Services (AWS)
June 16, 2019
Herndon, VA
Job Type



Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The Amazon ML Solutions Lab team helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. As an ML Solutions Lab data scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We’re looking for talented data scientists capable of applying classical ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.

The Primary Responsibilities Of This Role Are To

  • Design, develop and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries
  • Interact with the customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them
  • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms

This position requires travel of up to 25% and can be located in Austin, Chicago, New York, Boston, Washington D.C., Atlanta, Palo Alto/Bay Area, or Seattle.

Basic Qualifications

  • BS and Masters degrees in computer science, engineering, or related technical/scientific field
  • 5+ years of professional experience in a business environment
  • 3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems
  • 1+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM)
  • Experience in using Python, R, or another programming language

Preferred Qualifications

  • PhD degree in computer science, engineering, or related technical/scientific field
  • Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar
  • Strong communication and data presentation skills
  • Strong attention to detail
  • Comfortable working in a fast-paced, highly collaborative, dynamic work environment
  • Ability to think creatively and solve problems is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

Company Description

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

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