Data Science Lead Salary in Olean, MO

Demanded Skills for the Role:

• Analysis (Mentioned in 5.99% Job Postings): Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
• Algorithms (Mentioned in 2.87% Job Postings): Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines.
• Data Mining (Mentioned in 1.44% Job Postings): Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data; in contrast, data mining uses machine-learning and statistical models to uncover clandestine or hidden patterns in a large volume of data.