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# Data Scientist

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Ashburn, VA, United States
- **Experience:** Experienced
- **Salary:** $77,600.0 - $176,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Data Analysis, Continuous Integration, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Visualization, Distributed Data Store, Fraud Prevention and Detection, R (Programming Language), Apache Hadoop, MapReduce, Apache Hive, Identity and Access Management, Python (Programming Language), Machine Learning, MySQL, Natural Language Processing, NoSQL, Software Engineering, SQL Databases, Text Mining, Unstructured Data, Feature Engineering, Apache Spark, Electronic Medical Records, Data Lakes, Pyspark, Git Flow, Data Analytics, Plotly, Apache Kafka, Machine Learning Operations, Cloudwatch, Data Pipelines, Databricks, Programming Languages
- **Published:** August 18, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87910900/1

## About the Role

* 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining for structured and unstructured data
 * 3+ years of experience with statistical and general-purpose programming languages for data analysis
 * Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
 * Experience leading the development of solutions to complex programs
 * Experience in Apache Spark, BI, cloud analytics, ETL, exploratory data analysis, statistical models, SQL, unstructured data, and visualization
 * Experience with natural language processing, text mining, or machine learning techniques
 * Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
 * Bachelor's degree

Nice If You Have:

 * Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
 * Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
 * Experience with visualization packages, including Plotly, Seaborn, or ggplot2
 * Experience with databricks
 * Experience with PySpark, Spark SQL, and Delta Lake for building scalable data pipelines in Databricks
 * Experience with MLflow, feature engineering, and deploying machine learning models in Databricks
 * Experience using data robot
 * Knowledge of AWS services such as S3, IAM, Glue Catalog, and CloudWatch to support data engineering and ML workflows
 * Knowledge of software engineering practices, including Git-based workflows, modular Python development, testing, and CI/CD

## Description

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.


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