Data Scientist, Mid

Data Scientist, Mid The Opportunity:   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.  On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms, automations, and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help mission partners make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.   Work with us as we use data science for good.   Join us. The world can’t wait.   You Have:    3+ years of experience designing, developing, and maintaining interactive dashboards and data visualizations using tools such as Tableau, Power BI, or Qlik  2+ years of experience with data exploration, data cleaning, data analysis, data mining or data analytical tool development  2+ years of experience using Python, SQL, or R for data analysis and algorithm development   2+ years of experience creating automation or scripting solutions with robotic process automation tools, such as UiPath or Power Automate, or general-purpose programming languages, such as Python 1+ years of experience applying machine learning, AI, or natural language processing techniques in an operational or research environment   Experience building and managing ETL or ELT data pipelines from multiple data sources to ensure consistent and accurate data flows from source systems  Secret clearance    Bachelor’s degree  Nice If You Have:    1+ years of experience developing automations in UiPath  Experience with Databricks  Experience with War Data Platform (WDP) or other AWS Gov Cloud platforms Experience analyzing structured and unstructured data sources  Experience integrating large language Models (LLMs) or Agentic AI into analytic and ML workflows  Experience working with geospatial datasets, spatial analytics, or geospatial ML workflows Ability to analyze business processes to identify automation opportunities and produce solution designs Ability to communicate technical and complex concepts tailored to the needs of a variety of audiences Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

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