Data Science Manager, Generative AI Innovation Center

Key Skills

Aartificial intelligence, AWS, Data science techniques, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP)

Job Description

This Innovation Center provides opportunities to innovate in a fast-paced organization that contributes to breakthrough projects and technologies that are deployed across devices and the cloud. As a data scientist, you are proficient in designing and developing advanced generative AI solutions to solve diverse customer problems. You'll work with terabytes of text, images, and other types of data to solve real-world problems through Gen AI. You will work closely with account teams and ML strategists to define the use case, and with other ML scientists and engineers on the team to design experiments and find new ways to deliver customer value.

The selected person will possess technical and customer-facing skills that will enable you to be part of the AWS technical team within our solution providers ecosystem/environment as well as directly to end customers. You will be able to lead discussion with customer and partner staff and senior management.

A day in the life

Here at AWS, we embrace our differences. We are committed to promoting our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in more than 190 branches around the world. We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced by our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and build trust.

About the team

Work/life balance

Our team highly values ​​work-life balance. It's not 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 that finding the right balance between your personal and professional life is fundamental to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own work-life balance.

Mentoring and career growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and mandates and are building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one guidance and thorough but gentle code reviews. We care about your career growth and strive to assign projects based on what will help each team member become a more well-rounded engineer and enable them to take on more complex tasks in the future.

We are open to hiring candidates to work out of one of the following locations:

Mexico City, DIF, MEX

BASIC QUALIFICATIONS

• 5+ years of data science or data science management experience
• 3+ years of experience managing data scientists or machine learning engineers
• Knowledge of ML, NLP, Information Retrieval and Analytics
• Experience directly managing scientists or machine learning engineers

PREFERRED QUALIFICATIONS

• Master’s degree or PhD in a machine learning or a related technical field;
• Experience as a leader and mentor on a data science team;
• Business understanding of cloud computing as a fundamentally disruptive technical and business strategy;
• English proficiency both (verbal and written).