Amazon Senior Data Scientist Search Science 

United States, Washington, Seattle 

452191693

Key job responsibilitiesKeeping a department-wide view, you will focus on the highest priorities and constantly look for scale and automation, while making technical trade-offs between short term and long-term needs. With your drive to deliver results, you will quickly analyze data and understand the current business challenges to assess the feasibility of different science projects as well as help shape the analytics roadmap of the Data Science and Analytics team for Search CX. Your desire to learn and be curious will help us look around corners for improvement opportunities and more efficient metrics development.
In this role, you will partner with data engineers, business intelligence engineers, product managers, software engineers, economists, and other data scientists.Who you are
You are a Data Scientist with an expertise in Machine learning and statistical models. You are comfortable with a higher degree of ambiguity, knows when and how to be scrappy, build quick prototypes and proofs of concepts, innate ability to see around corners and know what is coming, define a long-term science vision, and relish the idea of solving problems that haven’t been solved at scale. As part of our journey to learn about our data, some opportunities may be a dead end and you will balancing unknowns with delivering results for our customers. Along the way, you’ll learn a ton, have fun and make a positive impact at scale.
Seattle, WA, USA

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 5+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Experience fine tuning LLMs and keeping up with the latest model releases and working with unstructured data (image and text)

- Experience as a leader and mentor on a data science team
- 2+ years of experience fine tuning LLMs and using different prompting techniques