Booz Allen Hamilton

Data Scientist

El Segundo, CA, US$77,600-$176,000Posted 1 day ago

Job Description

Data ScientistThe Opportunity:

Are you excited at the prospect of unlocking the secrets held by data? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn complex data sets into useful information to solve global challenges.

We have an opportunity for you to use your analytical skills to improve the U.S. Space Force. You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll craft strategies to locate and source datasets, establish metrics and KPIs for leaders, write scripts to analyze data and automate processes for efficiency, and build dashboards using business intelligence tools to make sense of it all. Using the right combination of tools and frameworks to turn sets of disparate data into objective insights, your efforts will enable U.S. Space Force leaders to make data-informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in support of the U.S. Space Force. This position is located in El Segundo, CA.

Join us. The world can't wait.

You Have

* 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining of structured and unstructured data sources * 2+ years of experience with statistical and general-purpose programming languages for data analysis, including Python, R, or SQL, and with common data science libraries, including pandas, NumPy, or scikit‑learn * 2+ years of experience building clear visualizations and lightweight dashboards in Tableau or Power BI, including advanced analytical expressions and custom to enhance dashboard insight and data model efficiency, and code‑based visualization, including Matplotlib or Plotly, for analytical workflows *

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