Data Scientist - Aws Argentina [X118] En Argentina Nr-935

Excited by Big Data, Machine Learning and Predictive Software? Interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on Terabytes of Data?

At AWS, we are developing state-of-the-art large-scale Machine Learning Services and Applications on the Cloud involving large amounts of data. We work on ing predictive technology to a wide spectrum of problems. We are looking for talented and experienced Machine Learning Scientists who can innovative Machine Learning techniques to real-world problems. You will get to work in a team dedicated to advancing Machine Learning solutions at AWS and converting it to business-impacting solutions.

Major responsibilities

Use machine learning,

data mining and statistical techniques to create new, scalable solutions for business problems

Analyze and extract relevant information from business data to help automate and optimize key processes

Design, develop and evaluate highly innovative models for predictive learning

Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation

Research and implement novel machine learning and statistical approaches

BASIC QUALIFICATIONS

Bachelor Degree in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field.

4+ years of industry experience in predictive modeling and analysis, predictive software development

Strong Problem solving ability

Good skills with programming languages, such as Java or C/C++

Experience using Python and/or R

Experience using machine learning libraries, such as scikit-learn, caret, mlr, mllib

Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications

Strong communication and data presentation skills

Ability to travel to client locations when needed. Up to 50% regionally

P+ years of industry experience in predictive modeling and analysis, predictive software development

Experience handling terabyte size data sets

Experience working with distributed systems and grid computing

Publications or presentation in recognized Machine Learning and Data Mining journals/conferences

-PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field.