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.
SOC: 15-2051.00
What You'll Need to Succeed
AI-generated
Key competencies for this occupation at a glance
KnowledgeDesign machine learning models and natural language processing algorithms using Python, R, TensorFlow, and PyTorch to extract insights from large structured and unstructured datasets.
Advanced
KnowledgeCreate interactive data visualizations and dynamic reporting dashboards using Tableau, Power BI, and Python libraries to communicate findings to technical and non-technical stakeholders.
Advanced
KnowledgeSynthesize insights from multiple data sources and analytical methods to formulate data-driven recommendations that address complex business problems.
Advanced
KnowledgeAnalyze large-scale data patterns and statistical relationships applying data mining and data modeling techniques across distributed computing environments.
Proficient
Hands-onOperate big data processing frameworks including Apache Spark, Hadoop, and Kafka to transform raw data into analytical datasets.
Proficient
KnowledgeDevelop data pipelines and ETL workflows using cloud platforms such as AWS, Azure, and Google Cloud with containerization tools like Docker and Kubernetes.
Proficient
Hands-onExecute complex SQL queries and database operations across relational and NoSQL databases including PostgreSQL, MongoDB, and Cassandra.
Proficient
KnowledgeEvaluate model performance metrics and predictive accuracy applying statistical validation techniques and A/B testing methodologies in production environments.
Proficient
Hands-onManipulate multidimensional datasets using programming libraries including pandas, NumPy, and scikit-learn for feature engineering and data transformation.
Proficient
MindsetIntegrate ethical data practices and privacy considerations when designing analytics solutions that handle sensitive or personally identifiable information.
Proficient
KnowledgeImplement version control and collaborative development workflows using Git, GitHub, and CI/CD tools like Jenkins to maintain reproducible analytics code.
Proficient
MindsetAdvocate data-driven decision-making and analytical rigor when collaborating with cross-functional teams and presenting findings to executive leadership.
Proficient
Wage Data According to the Bureau of Labor Statistics
Annual wage data for Data Scientists (2024)
Estimated Total Employment (U.S.)
233,440
Wage Distribution by Percentile
Line chart of annual wages by percentile. U.S. is the solid line. 10th percentile: U.S. $63,650. 25th percentile: U.S. $82,630. 50th percentile: U.S. $112,590. 75th percentile: U.S. $155,810. 90th percentile: U.S. $194,410. Use the left and right arrow keys to move between percentiles.
U.S.
Metric
U.S.
10% of workers earn the following or less
$63,650
10% of workers earn the following or more
$194,410
Workers on average earn
$124,590
+ indicates wage is at or above the BLS reporting cap ($239,200/year)
Tools & Technology
Equipment and software commonly used in this occupation
