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TOP DATA SCIENCE JOBS IN AUGUST IN 2020 Posted on : Aug 01 - 2020

To handle 2.5 quintillion bytes of data produced every day, enterprises need professionals who can treat, analyse and organise this data to provide valuable business insights, for intelligent actions. A data scientist dons many hats in his/her workplace. Not only they are responsible for business analytics, they are also involved in developing software platforms and building data products, along with being experts into data visualizations and machine learning algorithms.

Much has been spoken about a data scientist being is the sexiest job title of the 21st century and data science as the most promising field. Building grounds on what that is already been written and said, Analytics Insights compiles the list of the top Data Science jobs for the month of August-

• Data Architect

Average Salary: US$140,000

Data Scientists analyse the source of data with an effort to clean, and organize it for companies. Data scientists need to analyse large amounts of complex raw and processed information unearthing patterns that will benefit an organization that drive strategic business decisions. Compared to data analysts, data scientists are much more technical, and possess an expertise in at least one programming language – R/ Python, data extraction, transformation, and loading capabilities. Skilled in data exploration, with a knowledge of machine learning algorithms, big data processing they are adept in data visualization as well.

• Machine Learning Engineer

Average Salary: US$115,000

Machine learning engineers create data funnels and help the tech team to deliver software solutions. They typically need programming skills, besides strong statistics in addition to the knowledge of software engineering. In addition to designing and building machine learning systems, machine learning engineers are also responsible for running tests and experiments that monitor the performance and functionality of such systems. Machine learning engineers know the concepts of computer science, software engineering, data analysis, feature engineering and the metrics involved in ML. They have expertise in maths and statistics and are knowledgeable in algorithm selection, and cross validation.

 • Machine Learning Scientist

Average Salary: US$115,000

They research new data approaches and algorithms to be used in adaptive systems. ML specialists have the data science know how, including supervised, unsupervised, and deep learning techniques. They are hired under the titles of research scientist or research engineer. The knowledge skills include robotics and machine learning, cognitive science and engineering. They have expertise in mathematics concepts and mathematical models View Mor