Data Scientist, GSSO

DESCRIPTION

We are seeking a talented and analytical Data Scientist to join our team and drive data-driven insights and solutions. In this role, you will be responsible for performing exploratory data analysis, developing and deploying predictive models, and leveraging advanced analytics techniques to uncover valuable insights and support data-driven decision-making across the organization.

Key job responsibilities

1. Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems.
2. Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs.
3. Work hands-on to build a scalable cloud environment for our customers to label data, build, train, tune, and deploy their models.
4. Interact with customers directly to understand the business problem, help, and aid them in the implementation of their ML ecosystem.
5. Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
6. Work closely with partner teams to drive model implementations and new algorithms.

BASIC QUALIFICATIONS

1. 2+ years of data scientist experience.
2. 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.
3. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
4. Experience applying theoretical models in an applied environment.

PREFERRED QUALIFICATIONS

1. Experience in Python, Perl, or another scripting language.
2. Experience in a ML or data scientist role with a large technology company.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit