Do you love solving puzzles, finding answers to questions, and using data, statistics, and software to do it?
Data science professionals enjoy extensively thinking about solving abstract problems about data and technology. To do so, they must also show a strong interest in computer science, math, and in ongoing education and research to continue to stay up to date in the field. Data science professionals are curious and voracious learners, and have a natural ability to share and simplify.
Data scientists design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics and programming to clean, manage and organize them.
Data engineers build massive reservoirs for big data. They develop, construct, test and maintain architectures such as databases and large-scale data processing systems.
Machine learning engineers typically have stronger software engineering skills than data scientists and work with engineers to maintain production systems. They often code the algorithms provided by data scientists into the production system.
4 year University degree is typically required, and Project Management/PMP certification is a plus.