Senior Data Scientist, Alexa AI

Key Skills

Java Programming, Leadership, Python Programming, SQL, Aartificial intelligence, Machine learning techniques, Data Visualization, Deep Learning, Natural Language Processing (NLP), Terabyte scale datasets

Job Description

We’re looking for a passionate, talented, and inventive Senior Data Scientist to help build industry-leading technologies that push forward the frontiers of conversational AI. Our team’s mission is to work with both internal and external teams to advance the state-of-the-art in conversational AI.

Key job responsibilities

As a Senior Data Scientist with the Alexa Artificial Intelligence (AI) team, you will be responsible for supporting the development of novel algorithms that advance the state-of-the-art in areas such as natural understanding, dialog management, natural language generation, multimodal interaction, and knowledge acquisition. You will work with partner science and engineering teams across Alexa AI and Amazon more broadly to create machine learning architectures and frameworks that facilitate engagement of external teams on key research challenges for the field, through competitions such as the Alexa Prize challenges. You will help to define new challenges and develop novel approaches for evaluation and analytics on challenge data.

A day in the life

You will work in a hybrid and fast-paced organization where scientists and engineers work together to drive new technologies to production. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon.

About the team

The Alexa AI team's mission is to invent the future generations of AI Assistants, leveraging internal and external research frontiers to explore and experiment with transformational innovations in AI, accelerate the science of multimodal conversational AI, make it scalable and generalizable, and discover the science and art of what is possible in Human-AI interaction. We strive to advance Amazon’s AI reputation, and partner with researchers and academic communities around the globe to pursue game-changing high-risk high-reward scientific concepts grounded in language understanding, and validate their technical merits through real-world interactive applications.

BASIC QUALIFICATIONS

• Bachelors Degree + 8 yrs experience or a Masters Degree + 4 yrs experience in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field
• 3+ years of experience in building machine learning models for business application
• Experience in Java, Python, or another scripting language

PREFERRED QUALIFICATIONS

• Experience in building natural language processing, dialog management, or natural language generation systems
• Experience working with large datasets, conducting statistical analyses and creating data visualizations
• Knowledge of advanced machine learning techniques (deep learning and neural networks)
• Scientific thinking and the ability to invent
• Track record of thought leadership and contributions that have advanced the field
• Excellent spoken and written communication skills