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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.

Zone 4: Considerable Preparation Needed

US Market Salary

US Estimate
$119,600/year Median Annual Salary
$57.50/hour Median Hourly Salary

Source: Bureau of Labor Statistics (BLS) & US Job Market Estimate 2026

DNA Career Insights

With a median annual salary of $119,600/year, a career as a Data Scientists offers a competitive financial return compared to average vocational baselines in the United States. In terms of professional alignment, this role matches strongly with the Investigative interest category. Success in this field typically requires individuals who thrive on analytical research, logical problem solving, and intellectual inquiry, allowing them to effectively perform day-to-day duties.

Navigating entry into this field requires educational preparation aligned with Considerable Preparation Needed (Job Zone 4). For candidates who cultivate the requisite skill profiles, this pathway remains a stable, long-term option in the changing United States job market.

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Job Requirements Profile

Key abilities, skills, and activities necessary to perform successfully in this role.

Written Comprehension 3.94/5.0
Oral Comprehension 3.92/5.0
Deductive Reasoning 3.87/5.0
Oral Expression 3.83/5.0
Inductive Reasoning 3.83/5.0
Problem Sensitivity 3.76/5.0
Critical Thinking 3.89/5.0
Reading Comprehension 3.88/5.0
Active Listening 3.75/5.0
Complex Problem Solving 3.66/5.0
Speaking 3.57/5.0
Judgment and Decision Making 3.54/5.0
Working with Computers 4.77/5.0
Getting Information 4.43/5.0
Making Decisions and Solving Problems 4.28/5.0
Processing Information 4.27/5.0
Analyzing Data or Information 4.24/5.0
Updating and Using Relevant Knowledge 4.22/5.0
Intellectual Curiosity 3.00/5.0
Attention to Detail 2.99/5.0
Innovation 2.42/5.0
Dependability 2.36/5.0
Achievement Orientation 2.14/5.0
Integrity 2.10/5.0

Daily Occupational 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.

Pros & Cons of This Profession

✓ Advantages & Pros

  • High Salary Potential: Median annual wage is $119,600/year, placing it in a premium income tier.
  • Intellectual Engagement: Ideal for analytical minds that love solving challenging problems.

✗ Challenges & Cons

  • High Academic Investment: Requires a Job Zone 4 rating, often necessitating advanced degrees or long training.
  • Precision Demands: Requires zero tolerance for operational or logging errors.

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Audited & Reviewed By

DNA Career USA Editorial & Research Board

This profile has been compiled, audited, and reviewed by our career advisors and psychometricians using O*NET 28.1 database standards and BLS employment models to ensure high-fidelity, objective information.

Data Citation & Provenance

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This profile compiles primary career data from the O*NET 28.1 Database (sponsored by the US Department of Labor/Employment and Training Administration) and wage datasets from the US Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) program. You can verify licensing and O*NET compliance details on our O*NET License & Attribution Page.

Investigative (I) 7.0/7.0
Conventional (C) 5.4/7.0
Artistic (A) 2.6/7.0
Realistic (R) 2.2/7.0
Enterprising (E) 1.7/7.0
Social (S) 1.7/7.0

Business intelligence and data analysis software

Alteryx software 🔥 Apache Spark 🔥 📈 Business intelligence software Google Looker Analytics 🔥 MapReduce big data software Microsoft Power BI 🔥 📈 Qlik Tech QlikView Tableau 🔥 📈

Data base user interface and query software

Amazon Elastic Compute Cloud EC2 🔥 Amazon Redshift 🔥 Amazon Web Services AWS software 🔥 📈 BigQuery Microsoft Access 🔥 Microsoft SQL Server 🔥 Neo4j NumPy 📈 pandas 📈 PySpark PyTorch 🔥 📈 Structured query language SQL 🔥 📈

Storage networking software

Amazon Simple Storage Service S3

Cloud-based management software

Amazon Web Services AWS SageMaker Google Cloud software

Procedure management software

Apache Airflow 🔥

Data base management system software

Apache Cassandra 🔥 Apache Hadoop 🔥 📈 Apache Hive 🔥 Apache Pig Elasticsearch 🔥 MongoDB 🔥 NoSQL 🔥 Teradata Database 🔥

Development environment software

Apache Kafka 🔥 C 🔥 Flask Go 🔥 Julia Microsoft Azure software 🔥 📈 OpenAI ChatGPT Ruby 🔥 Scikit-learn 📈 XGBoost

Industrial control software

Apache MXNet

Project management software

Atlassian Confluence 🔥

Content workflow software

Atlassian JIRA 🔥

Operating system software

Bash 🔥 Keras Linux 🔥 Shell script 🔥 UNIX 🔥

Object or component oriented development software

C# 🔥 C++ 🔥 📈 Jupyter software Oracle Java 🔥 Perl 🔥 Python 🔥 📈 R 🔥 📈 Scala 🔥 SciPy Shiny spaCy

Application server software

Docker 🔥 GitHub 🔥 Kubernetes 🔥

Geographic information system

Geographic information system GIS systems

File versioning software

Git 🔥 📈

Analytical or scientific software

IBM SPSS Statistics 🔥 Kubeflow Mathematical software Mlflow SAS 🔥 📈 StataCorp Stata Statistical software TensorFlow 🔥 📈 The MathWorks MATLAB 🔥 📈

Web platform development software

JavaScript 🔥 JavaScript Object Notation JSON 🔥 RESTful API

Enterprise application integration software

Jenkins CI 🔥

Enterprise resource planning ERP software

Management information systems MIS

Spreadsheet software

Microsoft Excel 🔥 📈

Office suite software

Microsoft Office software 🔥

Presentation software

Microsoft PowerPoint 🔥 📈

Object oriented data base management software

PostgreSQL 🔥

Data base reporting software

Reporting software

Data mining software

Snowflake 🔥 📈

Enterprise system management software

Splunk Enterprise 🔥