Data Scientist II
2 weeks ago
Key job responsibilities
1. Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question
2. Given a business problem, estimate solution feasibility and potential approaches based on available data
3. Understand what data is available, where, and how to pull it together. Work with partner teams where needed to facilitate permissions and acquisition of required data
4. Quickly prototype solutions and build models to test feasibility of solution approach
5. Build statistical models/ ML models, train and test them to and drive towards the optimal level of model performance
6. Improve existing processes with development and implementation of state of the art generative AI models
7. Work with technology teams to integrate models by wrapping them as services that plug into Amazon's Alexa Eco system
8. Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem
About the team
Alexa Communications (connecting friends and family) is looking for a Data Scientist to join our team in the area of speech and large language model. We are seeking a candidate with strong analytical skills and language technology experience to help us measure, analyze and solve complex problems. In this role, you are responsible for the design and delivery of Language Understanding using your linguistic, voice user interface (VUI) design, and data analysis skills to understand what a customer meant. You are a key member in new feature development while proactively improving existing experiences. You work closely with other Engineers, Product Managers, Scientists and Engineers to deliver magical experiences that customers love.
BASIC QUALIFICATIONS
- 2+ years of data scientist experience- 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+ 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
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology company
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