[아마존] Sr. Data Scientist
- 1,279
- 0
- 0
- 회사개요 : 아마존
- 급여수준 : 협의
- 교육수준 : 학사, 석사/MBA
- 모집기간 : 채용시까지
담당업무
- Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI
Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .
- Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the
business need, aggregating data, exploring data, building & validating predictive models, and deploying
completed models to deliver business impact to the organization.
- Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers
build DL models.
- Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.
- Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
- Work with our Professional Services DevOps consultants to help our customers operationalize models after they
are built.
- Assist customers with identifying model drift and retraining models.
- Research and implement novel ML and DL approaches, including using FPGA.
자격요건
- A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operational
Research, Statistics, Mathematics, etc.) or equivalent experience
- 7+ years of industry experience in predictive modeling, data science and analysis
- Previous experience in a ML or data scientist role and a track record of building ML or DL models
- Experience using Python and/or R
- Able to write production level code, which is well-written and explainable
- Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
- Experience working with GPUs to develop models
- Experience handling terabyte size datasets
- Track record of diving into data to discover hidden patterns
- Familiarity with using data visualization tools
- Knowledge and experience of writing and tuning SQL
- Past and current experience writing and speaking about complex technical concepts to broad audiences in a
simplified format
- Experience giving data presentations
- Extended travel to customer locations may be required to deliver professional services, as needed
- Strong written and verbal communication skills