Applied Scientist III - AMZ9898484
About The Position
This role involves participating in the design, development, evaluation, deployment, and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. The scientist will develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to various business and engineering applications. Key activities include building and deploying ML models, running and analyzing experiments in a production environment, identifying new research opportunities to meet business goals, and researching and implementing novel ML and statistical approaches. The role also includes mentoring junior engineers and scientists.
Requirements
- Master’s degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
- OR Bachelor’s degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master’s degree and two years of research or work experience.
- One year of research or work experience in programming in Java, C++, Python, or equivalent programming language.
- One year of research or work experience in conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.
Responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.
- Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.
- Build and deploy ML models on available data, and run and analyze experiments in a production environment.
- Identify new opportunities for research in order to meet business goals.
- Research and implement novel ML and statistical approaches to add value to the business.
- Mentor junior engineers and scientists.
Benefits
- equity
- sign-on payments
- other forms of compensation
- medical benefits
- financial benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
