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hace 2 meses
We are seeking a highly skilled Senior Applied Scientist to join our Amazon Devices team in Guadalajara, Mexico. As a key member of our Science and Data technology team, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device to provide customers with great products.
Key Responsibilities- Business Metrics and Modeling: Define proper output business metrics, and build input models to identify patterns and drivers of the output. Drive actions at scale using scientifically-based methods and decision making.
- Complex Model Development: Design and develop complex mathematical, statistical, machine learning, and GenAI models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions.
- Experimentation and Hypothesis Testing: Design experiments, test hypotheses, and build actionable models.
- Model Implementation: Prototype these models by using modeling languages such as R or in software languages such as Python.
- Scalable Implementations: Work with software engineering teams to drive scalable, real-time implementations.
- Data Utilization: Utilize Amazon systems and tools to effectively work with terabytes of data.
- Machine Learning Experience: 5+ years of building machine learning models for business application experience.
- Advanced Degree: PhD, or Master's degree and 6+ years of applied research experience.
- Programming Skills: Experience programming in Java, C++, Python or related language.
- Neural Deep Learning Methods: Experience with neural deep learning methods and machine learning.
- Modeling Tools: Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Distributed Systems: Experience with large scale distributed systems such as Hadoop, Spark etc.
About Amazon: Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
