Short Description
Amazon is hiring for Senior Data Scientist who will manage and 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.Job Description
- 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 an 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.
- 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 an ML or data scientist role and a track record of building ML or DL models
- Experience using Python and/or R
- Knowledge of SparkML.
- 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.
- Ph.D. in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
- 8+ years of industry experience in predictive modeling and analysis.
- Good skills in programming languages, such as Java or C/C++.
- Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.
- Consulting experience and track record of helping customers with their AI needs.
- Publications or presentation in recognized Machine Learning, Deep Learning, and Data Mining journals/conferences.
- Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR.
- Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customerĂ¢??s organization.
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
Senior Data Scientist