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Part A Careers:Data science is a blend of statistics, mathematics, and computer science. A Data Scientist is a professional whose main jobs are to collect data and trends and find a way to put it into practical business use. As well, companies are heavily relying on Data Scientists to design and improve cybersecurity.A few of the jobs for a Data Scientist include creating various Machine Learning-based tools, and processes within a certain company. For example, recommendation engines or automated lead scoring systems. They also collect data in order to help build AI tools that are able to automate certain processes within the company. Data Scientists also generally know how to perform statistical analysis. Data Scientists also have many responsibilities ranging from Data mining to creating automated anomaly detection systems. They have a wide range of responsibilities that require various skills. Some responsibilities are: selecting features, building and optimizing classifiers by using machine learning techniques. Data mining using state-of-the-art methods. Extending company’s data to third-party sources of information when needed. Enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, cleansing, and verifying the integrity of data used for analysis. Doing ad-hoc analysis and presenting results in a clear manner. Creating automated anomaly detection systems and constant tracking of its performance. One major undervalued skill is the ability to communicate. Data Scientists must be able to quickly explain what they have found in simple noncomputer related terms.For the degree required to obtain a position as a Data Scientist, there are no specific requirements to become a data scientist. Due to the fact that Data Scientist is a generally knew field there are no specific degrees, however, there are a few starting to appear. Some examples of post-secondary degrees are computer engineering, computer science, a combination of software and some knowledge of web designing and hardware. Although there are some masters degrees available for Data Scientist, it is not necessary because the material taught does not help with the work done at the job.Although there is no required post-secondary degree there is common knowledge that every Data Scientist must know. The most common knowledge is a variety of coding languages. These include Python and Java: general-purpose programming languages that are the most used in the coding world today. R and Tableau: languages used for visualization. MatLab: A language that supports mathematical modeling. Scala: A Java-friendly language ideal for working with real-time data. As well as SQL, Julia, SAS, Hadoop, and Apache Spark. A data Scientist would not need to know all of these but the more they know the better off they will be as they can access more platforms. Due to the shortage of students coming out of university and college with the proper credentials the demand for Data Scientist far exceed the number of graduates.Bibliography:Half, R. (2017, July 14). Want to Be a Data Scientist? Here’s What You Need to Know. Retrieved January 26, 2018, from, M. S. (2016, July 29). 4 Reasons Not To Get That Masters In Data Science. Retrieved January 26, 2018, from Scientist Job Description Template. (n.d.). Retrieved January 26, 2018, from, M. (2016, August 10). So You Want To Be A Data Scientist. Retrieved January 26, 2018, from Come the Data Scientists | Inside Higher Ed. (n.d.). Retrieved January 26, 2018, from to Become a Data Scientist – Reasons and Steps. (n.d.). Retrieved January 26, 2018, from