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.

Bright Outlook

Interest Profile (RIASEC)

Also See

Key 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.

Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.

Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.

Design surveys, opinion polls, or other instruments to collect data.

Identify business problems or management objectives that can be addressed through data analysis.

Identify relationships and trends or any factors that could affect the results of research.

Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.

Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.

Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.

Recommend data-driven solutions to key stakeholders.

Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.

Write new functions or applications in programming languages to conduct analyses.

Technology Skills

Data base user interface and query software

Amazon Elastic Compute Cloud EC2
Amazon Redshift
Amazon Web Services AWS software
Microsoft SQL Server

Presentation software

Microsoft PowerPoint

Object or component oriented development software

C#
Perl
R
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
Microsoft Power BI
Tableau

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

Enterprise application integration software

Jenkins CI

Office suite software

Microsoft Office software

Data base reporting software

Reporting software

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.

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.

SVP Range: (7.0 to < 8.0)