Data Scientist
Tempe, Arizona, USA
Amazon.com
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Job summary
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
Please visit https://www.amazon.science for more information.
Would you like to pioneer new technologies in NLP, machine translation and machine learning? As a data scientist, you will develop novel algorithms and modeling techniques to remove language as a barrier to global communication. Your work will help Amazon become further focused on its customers by allowing the platform to always communicate with our customers in their preferred language. You will be able to leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated natural language translation.
We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to join us to build industry-leading Speech and Language technology.
Key job responsibilities
* Participate in the development, evaluation, deployment and updating of automated and scalable machine translation models
* Develop and/or apply statistics, NLP and machine learning experiments and methodologies to different applications in written language engineering
* Work closely with scientists and software engineers on experimentations, evaluation and implementation
* Work closely with business partners to understand the goals and develop solutions
* Bachelor or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience
* Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
* Understanding of relevant statistical measures such as confidence intervals, error measurements, development and evaluation data sets, etc.
* 1+ years of experience with Python
* 1+ years of experience with SQL
* 2+ years of working experience as a Data Scientist
* Experienced with NLP, NLU, Machine Translation methods and Deep Neural Networks
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
Please visit https://www.amazon.science for more information.
Would you like to pioneer new technologies in NLP, machine translation and machine learning? As a data scientist, you will develop novel algorithms and modeling techniques to remove language as a barrier to global communication. Your work will help Amazon become further focused on its customers by allowing the platform to always communicate with our customers in their preferred language. You will be able to leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated natural language translation.
We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to join us to build industry-leading Speech and Language technology.
Key job responsibilities
* Participate in the development, evaluation, deployment and updating of automated and scalable machine translation models
* Develop and/or apply statistics, NLP and machine learning experiments and methodologies to different applications in written language engineering
* Work closely with scientists and software engineers on experimentations, evaluation and implementation
* Work closely with business partners to understand the goals and develop solutions
Basic Qualifications
* Bachelor or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience
* Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
* Understanding of relevant statistical measures such as confidence intervals, error measurements, development and evaluation data sets, etc.
* 1+ years of experience with Python
* 1+ years of experience with SQL
Preferred Qualifications
* Master's degree in ML/NLP, Statistics, Applied Math or a related quantitative field* 2+ years of working experience as a Data Scientist
* Experienced with NLP, NLU, Machine Translation methods and Deep Neural Networks
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Machine Learning Mathematics NLP Python SQL Statistics
Region:
North America
Country:
United States
Job stats:
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Category:
Data Science Jobs
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