Amazon Data Scientist Amazon Autos 

United States, New York, New York 

931338968

Key job responsibilities
As a Data Scientist in Amazon Autos, you will:* Develop and implement the data science strategy for Amazon Autos, ensuring it aligns with both program goals and broader business objectives.
* Leverage your skills in areas such as statistical analysis, deep learning, machine learning, and reinforcement learning to drive innovation and enhance the automotive shopping experience.
* Effectively analyze large, complex, and diverse datasets collected from diverse sources to derive key insights, build segmentation models and improve customer shopping experience.
* Utilize your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation.
* Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.
* Design, develop, and evaluate innovative ML models to solve diverse obstacles and opportunities across business teams.
* Interface with business customers, gathering requirements and delivering science solutions.
* Effectively communicate complicated machine learning concepts to multiple partners.A day in the lifeYour science expertise will be leveraged to research and deliver data-driven solutions to existing problems, explore emerging problem spaces, and create new knowledge. You will report updates and insights from your work to leadership. You will invent and apply state-of-the-art technologies, such as large language models, machine learning, natural language processing, and computer vision, to build next-generation solutions for Amazon.
You'll publish papers, file patents, and work closely with engineers to bring your ideas to production.

- 3+ 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
- Masters with 5+ years of experience or Bachelors with 8+ years of experience in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Operational research or equivalent)
- Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, Optimization using Linear Programming.
- Excellent written and verbal communication skills for both technical and non-technical audiences