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# Data Scientist, Mid

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Springfield, United States
- **Experience:** Experienced
- **Salary:** $77,600.0 - $176,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Data Mining, Data Visualization, Database Development, Distributed Data Store, R (Programming Language), Apache Hadoop, MapReduce, Apache Hive, Integrated Development Environments, PostgreSQL, Microsoft Visual Studio, MySQL, NumPy, Operational Data Store, SciPy, PL-SQL, SQL*Plus, SQL Databases, Anaconda, Jupyter Notebook, Enterprise Software Applications, Data Ingestion, Apache Spark, Electronic Medical Records, Pandas, Scikit Learn, Plotly, Apache Kafka
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/8beee78c-7cc8-4336-ad1c-64eb0186a2e2

## About the Role

* 7+ years of experience in data science, mathematics, or a scientific field
 * Experience with SQL and PL/SQL , and with common data science libraries such as Pandas, NumPy, SciPy, and scikit-learn
 * Experience with environments such as API, Visual Studio, Jupyter Notebook, PyCharm, Anaconda, or miniconda, and with database development and administration tools, such as SQL*Plus, SQL Developer, or PostgreSQL
 * Experience with data mining
 * Experience using software packages used for advanced statistical analysis of operational data and tools for data visualization
 * Ability to develop mathematical algorithms and applications in response to complex requirements
 * Ability to identify systems enhancements and new capabilities, concept demonstrators, and capability business cases, and provide training as new systems and capabilities move into operational use
 * Ability to work independently in a fast-paced, constantly changing environment and interact and work in a team environment
 * TS/SCI clearance
 * Bachelor's degree in Statistics, Mathematics, Image Science, Remote Sensing, Earth Science, or Physical Science

Nice If You Have:

 * Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
 * Experience with visualization packages, including Plotly, Seaborn, or ggplot2

## Description

Provide statistical and mathematical support to analyze and interpret a wide range of data to help leadership understand the value of anomalies and support strategic decisions. Interpret and analyze leadership information needs, and design and implement data analysis projects to address those needs by incorporating best practices, appropriate data, and proven techniques from experience or research methods. Leverage wide-ranging data sources to develop and communicate an understanding of phenomena and trends. Provide insights through repeatable, transparent analysis that will be used to inform division strategy and decisions. Assist in the construction of data sets and data views to utilize and communicate complex data sets meaningfully and appropriately. Assist with the implementation of statistical analysis process improvements and the incorporation of statistical research into new analytical products and methods. Generate and maintain reports, schematics, and other documentation
sufficient to maintain awareness of data ingestion, conditioning, and visualization processes on a regular basis and modify them as required. Provide continuous feedback and recommendations to leadership. Develop performance metrics to assess business analytics maturity level.


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