Data Scientist II

The Amazon Digital Acceleration Analytics team is looking for an analytical and technically skilled individual to join our team. In this role, you will invent, build, and deploy state-of-the-art machine learning models and systems to enable and enhance the team's mission. We are looking for an experienced data scientist with strong foundations in mathematics, statistics, and machine learning; exceptional communication and leadership skills; and a proven track record of delivery. In this role.
Responsibilities:
Define a long-term science vision and roadmap for the team, driven fundamentally from our customers' needs, translating those directions into specific plans for engineering teams.
Design and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
Drive end-to-end statistical analysis that has a high degree of ambiguity, scale, and complexity.
Research and develop advanced Generative AI based solutions to solve diverse customer problems.
Requirements:
2+ years of data scientist experience.
3+ years of data querying language (e. g., SQL), scripting language (e. g., Python), or statistical/mathematical software (e. g., R, SAS, Matlab, etc. ) experience.
3+ years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience.
Experience applying theoretical models in an applied environment.
Experience applying various machine learning techniques and understanding the key parameters that affect their performance.
Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and the ability to accurately determine cause-and-effect relationships.
Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs.
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Preferred qualifications:
5+ years of data scientist experience.
Experience in Python, Perl, or another scripting language.
Experience in an ML or data scientist role with a large technology company.

Experience
3-7 yrs