Excited by finding ways to combine Machine Learning (ML) and Human Intelligence to solve problems that ML alone can’t solve? Amazon Mechanical Turk is a crowdsourcing marketplace that enables individuals or businesses to use human intelligence to complete jobs that humans can do better than computers, providing access to an on-demand, scalable, workforce. We connect startups, enterprises, researchers, artists, well-known tech companies, and government agencies with individuals to solve problems in computer vision, machine learning, natural language processing, and more. Through Amazon Sagemaker Ground Truth, we integrate seamlessly into ML workflows, to help ML scientists automate the process of labeling data for ML model training. As a Data Scientist on the team, you will apply your strong background in ML, statistics and data engineering to devise new ways to combine machine and human intelligence, and to derive new insights into the functioning of one of the world’s largest crowdsourcing
· Master’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience · 5+ years of industry experience in predictive modeling, data science and quantitative analysis · Track record of applying the scientific method to solve problems by forming hypotheses and testing them through well-documented and reproducible experiments · Proficiency in Python, with the ability to write clear, concise, explainable, testable, production-ready code · Extensive experience with ML libraries (scikit-learn) and with big-data