Data Science Leader for Alexa Sensitive Content Detection
5 days ago
As a passionate and talented Data Science Leader, you will play a critical role in building industry-leading technology with Large Language Models (LLMs) and multimodal systems. You will lead a team of exceptional Data Scientists working in a hybrid, fast-paced organization where scientists, engineers, and product managers collaborate to build customer-facing experiences.
Your responsibilities will include analyzing and automating processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions.
You will work collaboratively with other data scientists and applied scientists to design and implement principled strategies for data optimization. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders.
A day in the life of a Data Science Leader involves collaborating with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, model development, and solution implementation. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team.
The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to minimize negative surprises to customers caused by sensitive content, detect and prevent potential brand-damaging interactions, and build customer trust through appropriate interactions on sensitive topics.
BASIC QUALIFICATIONS:
- 5+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- 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
- Experience working with scientists, economists, software developers, or product managers
PREFERRED QUALIFICATIONS:
- 3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Our estimated salary for this position is $140,000 - $180,000 per year, based on location and experience. Amazon offers a comprehensive benefits package that includes health insurance, retirement plans, and paid time off.
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