Data Science Manager

About the Job
Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organizations. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem as well as directly to end customers. You will drive discussions with senior technical and management personnel, enabling you to interact with and provide guidance to data/research/applied scientists and software developers. The ideal candidate will have a demonstrated ability to think strategically about business, product, and technical issues and will be an excellent technical team manager capable of hiring, developing, and retaining high-quality technical talent.

Key Responsibilities

• Work directly with customers to drive adoption and shape the future of emerging technologies by understanding business problems and guiding customers in the implementation of generative AI solutions.
• Develop the industry’s best generative AI delivery team by coaching and enabling your team on best practices and creating value-driven architectures.
• Grow an existing team by hiring, on-boarding, training, and developing new Scientists, Architects, and Engineers.
• Identify opportunities for building reusable technical assets based on recurring customer needs.
• Provide customer and market feedback to Product and Engineering teams to help define product direction.
• Drive revenue growth across a broad set of customers.
• Be a thought leader, shaping technical solutions, growing the team, and leading specific customer engagements.
• Deliver briefing and deep dive sessions to customers, guiding on adoption patterns and paths to production.

About the Team
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight customers. You will direct a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, delivering state-of-the-art solutions to customer business and mission problems.

Requirements

• Bachelor's degree in computer science, mathematics/statistics, computer engineering, or a related technical discipline.
• Several years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• Several years of technical management experience, including a minimum of 1 year in a technical management role in a customer-facing or consulting organization.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and machine learning.
• Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.

Preferred Qualifications

• Experience with fairness in machine learning and AI to detect and remove bias in ML/AI systems.
• Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer).
• PhD or Master's degree in computer science, engineering, mathematics, operations research, or a highly quantitative field.
• Prior experience in training and fine-tuning of Large Language Models (LLMs).
• Deep expertise in generative AI and hands-on experience of deploying and hosting Large Foundational Models.
• Experience and deep knowledge of AWS and AWS AI/ML services.
• Experience as a pre-sales, customer-facing field development manager.