Data Scientist, Mid

Booz Allen Hamilton•Reston, VA

14d•$99,000 - $225,000

About The Position

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 and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients 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.

Requirements

2+ years of experience in applied data science or ML roles, including Python using NLP and LLM implementation
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
Experience analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
Experience with Machine Learning, Artificial Intelligence, or Natural Language Processing
TS/SCI clearance
Bachelor’s degree

Nice To Haves

2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
2+ years of experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
2+ years of experience with Machine Learning, AI, or NLP
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Master’s degree