Math > Data Scientist
Salary National Average
| Low | Medium | High |
|---|---|---|
| 98640.0000 | 125250.0000 | 153630.0000 |
Change from Previous Year:
+4%
Supply and Demand
Candidate Supply: 1,231 Job Openings: 85,567
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Short Description:
A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, statistician and computer professional. This job requires the use of advanced analytics technologies, including machine learning and predictive modeling.
A data scientist requires large amounts of data to develop hypotheses, make inferences, and analyze customer and market trends.
Duties / Responsibilities:
- Identifying the data-analytics problems that offer the greatest opportunities to the organization
- Determining the correct data sets and variables
- Collecting large sets of structured and unstructured data from disparate sources
- Cleaning and validating the data to ensure accuracy, completeness, and uniformity
- Devising and applying models and algorithms to mine the stores of big data
- Analyzing the data to identify patterns and trends
- Interpreting the data to discover solutions and opportunities
- Communicating findings to stakeholders using visualization and other means
Skills / Requirements / Qualifications
- Knowledge of programming languages like SQL, Python, R, and Scala
- Familiarity with business intelligence tools (e.g., Tableau)
- Strong mathematics skills (e.g., statistics, algebra)
- Experience with big data technologies such as Hadoop and Spark
- Advanced ability to perform exploratory data analysis
- Experience with common data science toolkits
- Working knowledge of statistics
- Exceptional technical writing skills
- Ability to communicate complex data in a simple, actionable way
- Ability to visualize data in the most effective way possible for a given project or study
- Analytical and problem-solving skills
- Experience with machine learning and AI
- Familiarity with data management tools
- Ability to work independently and with team members from different backgrounds
- Excellent attention to detail
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