Data Scientist II #0000

Job summary
Employer: Amazon Web Services Inc
Position: Data Scientist II
Location: San Francisco, CA

Multiple Positions Available:
1. Assist customers by being able to deliver a Machine Learning (ML) project from beginning to end, including understanding the business need, aggregating data, exploring data, building, and validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization.
2. Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models
3. Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia.
4. Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data.
5. Work with our Professional Services engineers to operationalize customers models after they are prototyped.

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Basic Qualifications

Master’s degree or foreign equivalent in Computer Science, Statistics, Engineering (any), Math, or a related quantitative field and 1 year of experience in data science, engineering, or a related field. In the alternative, employer will accept a bachelor’s degree or foreign equivalent in Computer Science, Statistics, Engineering (any), Math, or a related quantitative field followed by 5 progressively responsible years of experience in data science, engineering, or a related field.

Experience must include:
(1) 1 year of experience in predictive modeling, data science, and analysis.
(2) 1 year of experience building ML models.
(3) 1 year of experience writing code in Python, R, Scala, Java, or C++ with documentation for reproducibility.
(4) 1 year of experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models
(5) 1 year of experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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Preferred Qualifications

All applicants must meet all the above listed requirements.

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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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.