Data Scientists
No job titles available.
What is a Data Scientist?
A Data Scientist is a professional who utilizes a combination of statistical, analytical, and programming skills to extract meaningful insights and knowledge from vast amounts of structured and unstructured data. They leverage data analysis, machine learning, and predictive modeling techniques to address complex business challenges, inform decision-making, and drive strategic initiatives. Data Scientists possess a keen understanding of data governance and best practices in data management, enabling them to ensure data quality and accuracy in their analyses. They work collaboratively with cross-functional teams, including data engineers, business analysts, and stakeholders, to identify relevant data sources, design experiments, and create data-driven solutions. The role often involves communicating findings through visualizations and reports, tailoring insights to various audiences, and continuously iterating on methodologies to enhance performance and achieve business objectives. Data Scientists are crucial in industries ranging from technology to healthcare, finance, and beyond, where data plays a central role in growth and innovation.
Tasks
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
Technology Skills
- Data base user interface and query software
- Presentation software
- Object or component oriented development software
- Development environment software
- Analytical or scientific software
Detailed Work Activities
- Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
- Advise others on analytical techniques.
- Analyze business or financial data.
- Analyze data to identify or resolve operational problems.
- Analyze data to identify trends or relationships among variables.
Work Interests
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Investigative
Work involves studying and researching non-living objects, living organisms, disease or other forms of impairment, or human behavior. Investigative occupations are often associated with physical, life, medical, or social sciences, and can be found in the fields of humanities, mathematics/statistics, information technology, or health care service.
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Conventional
Work involves following procedures and regulations to organize information or data, typically in a business setting. Conventional occupations are often associated with office work, accounting, mathematics/statistics, information technology, finance, or human resources.
Job Outlook
Projected salary and job growth
$61070.0 - $184090.0
This career will grow rapidly in the next few years.
Assessment
Related assessments and tests
No assessment available.