Booz Allen
DataScientist,Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Scientist, Senior at Booz Allen. Skills: Data Science, Machine Learning, Data Integration. Understand customer questions and needs. Process data”
Industry & Context.
Problem-solving; Analytical
Top Secret clearance, TS/SCI clearance
What They're Looking For.
Must Have
5+ years Python data analysis, 5+ years API data integration, 3+ years ML production integration, 3+ years data science project lifecycle, 2+ years varied data formats, Experience structured unstructured datasets, Knowledge statistical concepts, Knowledge mathematical modeling, Knowledge optimization techniques, Bachelor's degree, Top Secret clearance
Nice to Have
5+ years predictive analytic models, Experience with AWS, Experience with Agile development tools, Experience collaborating cross-functional teams, Knowledge geospatial data formats, Knowledge real-time streaming design, Knowledge event-driven data workflows, Knowledge data governance frameworks, Knowledge IC-compliant standards, Knowledge classified data processes, Excellent problem-solving skills, Excellent analytical skills, Excellent communication skills, TS/SCI clearance
What You'll Do.
Understand customer questions and needs
Conduct predictive analytics
Leverage machine learning
Use tools and frameworks
Provide data understanding
How You'll Work.
Team & Collaboration
Cross-functional teams; Multidisciplinary teams
Communication Scope
Share insights
Process & Methodology
Agile
Full Job Description
Data Scientist, Senior **The Opportunity:** Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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, you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve Air Force mission solutions. 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 develop data collection tools, data visualizations and dashboard, algorithms, and scripts to process data or conduct predictive analytics leveraging machine learning or other approaches. You’ll use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Air Force leaders make 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 aerospace mission solutions. Join us. The world can’t wait. **You Have:** * 5+ years of experience with Python-based data analysis, including anomaly detection and exploratory data analysis (EDA) with a focus on machine learning and data science applications * 5+ years of experience designing and implementing API-based data integration pipelines * 3+ years of experience integrating ML models into production web applications beyond prototyping such as Jupyter notebooks * 3+ years of experience managing the full lifecycle of data science and AI projects at an enterprise or real-world scale * 2+
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