How much does a Data Scientist IV make in Idaho? The average Data Scientist IV salary in Idaho is $135,552 as of April 24, 2024, but the range typically falls between $121,763 and $148,959. Salary ranges can vary widely depending on the city and many other important factors, including education, certifications, additional skills, the number of years you have spent in your profession.
Percentile | Salary | Location | Last Updated |
10th Percentile Data Scientist IV Salary | $109,210 | ID | April 24, 2024 |
25th Percentile Data Scientist IV Salary | $121,763 | ID | April 24, 2024 |
50th Percentile Data Scientist IV Salary | $135,552 | ID | April 24, 2024 |
75th Percentile Data Scientist IV Salary | $148,959 | ID | April 24, 2024 |
90th Percentile Data Scientist IV Salary | $161,165 | ID | April 24, 2024 |
Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.
Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
Data Scientist IV identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist IV interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist IV designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. The Data Scientist IV work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. To be a Data Scientist IV typically requires 7+ years of related experience. (Copyright 2024 Salary.com)... View full job description
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Location | Avg. Salary | Date Updated |
---|---|---|
Location Aberdeen, ID | Avg. Salary $124,074 | Date Updated April 24, 2024 |
Location Ahsahka, ID | Avg. Salary $147,029 | Date Updated April 24, 2024 |
Location Albion, ID | Avg. Salary $126,108 | Date Updated April 24, 2024 |
Location Almo, ID | Avg. Salary $126,108 | Date Updated April 24, 2024 |
Location American Falls, ID | Avg. Salary $124,074 | Date Updated April 24, 2024 |
Location Arbon, ID | Avg. Salary $124,074 | Date Updated April 24, 2024 |
Location Arco, ID | Avg. Salary $126,980 | Date Updated April 24, 2024 |
Location Arimo, ID | Avg. Salary $124,074 | Date Updated April 24, 2024 |
Location Ashton, ID | Avg. Salary $147,029 | Date Updated April 24, 2024 |
Location Athol, ID | Avg. Salary $147,029 | Date Updated April 24, 2024 |
A career path is a sequence of jobs that leads to your short- and long-term career goals. Some follow a linear career path within one field, while others change fields periodically to achieve career or personal goals.
For Data Scientist IV, the upper level is Data Scientist V and then progresses to Data Science Manager.
Salary.com's CompAnalyst platform offers:
Job Title | Experience | EDUCATION | Salary Compared to This Job |
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Job Title Data Analyst IV | Experience 7 + | EducationBachelors | Salary Compared to This Job |
Job Title Data Architect IV | Experience 7 + | EducationBachelors | Salary Compared to This Job |
Job Title Data Processing Specialist IV | Experience 5 - 7 | EducationHigh School | Salary Compared to This Job |
Job Title Data Scientist I | Experience 0 - 2 | EducationMasters | Salary Compared to This Job |
Job Title Data Scientist II | Experience 2 - 4 | EducationMasters | Salary Compared to This Job |
Jobs with different levels of education may pay very differently. Check the Data Scientist IV salary of your education level.
Data Scientist IV salary varies from country to country. There are several factors that mainly impact the Data Scientist IV salary, including cost of living, economic conditions, market rates and legal differences. Click below to Data Scientist IV salary of the other country.
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About Idaho Idaho (/ˈaɪdəhoʊ/ (listen)) is a state in the northwestern region of the United States. It borders the state of Montana to the east and northeast, Wyo....More
Skills associated with Data Scientist IV: Data Management, Big Data Analytics, Data Modeling, Big Data Software ...More
Recently searched related titles: Science Specialist, Scientist Specialist, Data Science Specialist
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