Home / Data Scientist, Trust – ML/Algorithms – Amazon Store

Data Scientist, Trust – ML/Algorithms

Job Description:

  • Build and deploy production AI/ML systems for trust integrity, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management. This includes working with NLP and LLM-based models in real production settings.
  • Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes.
  • Deliver clear, well-structured research findings with compelling data visualizations and rigorous analysis to drive alignment and action with cross-functional partners in product, engineering and operations
  • Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes

Requirements:

  • 2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields.
  • State-of-the-art knowledge of AI/ML models
  • Hands-on experience building, evaluating and deploying NLP and LLM-based solutions
  • Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Spark, Airflow and data warehouse
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels. Excellent project management, communication and collaboration skills
  • Working knowledge of causal inference
  • Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus.

Benefits:

  • Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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