Data Science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a “fourth paradigm” of theoretical, computational and now data
driven and asserted that “everything about science is changing because of the impact of information technology” and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
Datum Computing Systems has taken the lead in delivering top talent within the Machine Learning, Deep Learning, AI, and Data Science fields. Industries are moving extremely fast in these areas because of increased computing power, connectivity, and the huge volumes of data being collected. More so than ever – critical thinking is required to become a trusted advisor to our partner clients:
Quantitative analysis will improve your ability to run experimental analysis, scale your data strategy and help you implement machine learning.
Understanding products will help you perform quantitative analysis will also help you predict system behavior, establish metrics and improve debugging skills
Much like communication, teamwork is vital to a successful data science career. It requires being selfless, embracing feedback and sharing your knowledge with your team.
Innovation companies require critical thinkers, able to apply objective analysis of facts on a given topic or problem before formulating opinions or rendering judgments.
Programming improves your statistical skills, helps you “analyze large datasets” and gives you the ability to create your own tools.
Strong communication skills will help you
leverage all related skills.
Our technical leaders have decades of
experience in the end-to-end process
of building Data Analytics and Custom
Solve non-trivial problems with simple and impactful solutions
- Senior Data Scientist
- Senior Devops Engineer
- Product Manager
- Data Engineer
- Data Visualization