Data Scientists
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Match
Job outlook
Full Occupation Profile
Job Zone
Job Zone Four: Considerable Preparation Needed
Most of these occupations require a four-year bachelor's degree, but some do not.
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Employees in these occupations usually need several years of work-related experience, on-the-job training, and/or vocational training.
Many of these occupations involve coordinating, supervising, managing, or training others. Examples include real estate brokers, sales managers, database administrators, graphic designers, conservation scientists, art directors, and cost estimators.
Technology Skills
Data base user interface and query software
- Amazon Elastic Compute Cloud EC2
- Amazon Redshift
- Amazon Web Services AWS software
- PyTorch
Presentation software
- Microsoft PowerPoint
Object or component oriented development software
- C#
- Oracle Java
- Perl
- Scala
Development environment software
- Apache Kafka
- Go
- Microsoft Azure software
- Ruby
Analytical or scientific software
- IBM SPSS Statistics
- SAS
- TensorFlow
- The MathWorks MATLAB
Data base management system software
- Apache Cassandra
- Apache Hive
- Elasticsearch
- MongoDB
Business intelligence and data analysis software
- Alteryx software
- Apache Spark
- Google Looker Analytics
- Microsoft Power BI
Operating system software
- Bash
- Linux
- Shell script
- UNIX
Application server software
- Docker
- GitHub
- Kubernetes
Web platform development software
- JavaScript
- JavaScript Object Notation JSON
- RESTful API
Cloud-based management software
- Amazon Web Services AWS SageMaker
- Google Cloud software
Spreadsheet software
- Microsoft Excel
Geographic information system
- Geographic information system GIS systems
Content workflow software
- Atlassian JIRA
Enterprise system management software
- Splunk Enterprise
Object oriented data base management software
- PostgreSQL
Enterprise resource planning ERP software
- Management information systems MIS
File versioning software
- Git
Enterprise application integration software
- Jenkins CI
Office suite software
- Microsoft Office software
Data base reporting software
- Reporting software
Data mining software
- Snowflake
Project management software
- Atlassian Confluence
Storage networking software
- Amazon Simple Storage Service S3
Procedure management software
- Apache Airflow
Industrial control software
- Apache MXNet
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.
- Analyze data to inform operational decisions or activities.
- Determine appropriate methods for data analysis.
- Develop procedures to evaluate organizational activities.
- Develop scientific or mathematical models.
- Prepare analytical reports.
- Prepare data for analysis.
- Prepare graphics or other visual representations of information.
- Present research results to others.
- Select resources needed to accomplish tasks.
- Update technical knowledge.
- Write computer programming code.
Work Styles
A tendency to be detail-oriented, organized, and thorough in completing work.
A tendency to seek out and acquire new work-related knowledge and obtain a deep understanding of work-related subjects.
A tendency to be inventive, to be imaginative, and to adopt new perspectives on ways to accomplish work.
A tendency to be reliable, responsible, and consistent in meeting work-related obligations.
A tendency to establish and maintain personally challenging work-related goals, set high work-related standards, and exert high effort toward meeting those goals and standards.
A tendency to be honest and ethical at work.
A tendency to be comfortable with ambiguity and uncertainty at work.
A tendency to be open to and comfortable with change, new experiences, or ideas at work.
A tendency to exhibit determination and resolve to perform or complete tasks in the face of difficult circumstances or obstacles at work.
A tendency to be proactive and take on extra responsibilities and tasks that may fall outside of one's required work role.
A tendency to believe in one's work-related capabilities and ability to control one's work-related outcomes.
A tendency to be careful, deliberate, and risk-avoidant when making work-related decisions or doing work.
A tendency to cope and function effectively in stressful situations at work.
A tendency to remain calm and composed and to manage emotions effectively in response to criticism or difficult situations at work.
A tendency to be pleasant, helpful, and willing to assist others at work.
A tendency to be modest and humble when interacting with others at work.
A tendency to exhibit a positive attitude and positive emotions at work, even under difficult circumstances.
A tendency to lead, take charge, offer opinions, and provide direction at work.
A tendency to be genuine and sincere in interactions with others at work, without concern for personal gain or self-interest.
A tendency to seek out, enjoy, and be energized by social interaction at work.
A tendency to show concern for others and be sensitive to others' needs and feelings at work.
Reference
This page includes information from the O*NET Career Exploration Tools by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the O*NET Tools Developer License. O*NET® is a trademark of USDOL/ETA. Beesla has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications.