Data Scientist, Senior

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 Experience working with structured and unstructured datasets in operational constraints Knowledge of statistical concepts such as confidence intervals and error significance, mathematical modeling, and optimization techniques Ability to communicate and share insights with both technical and non-technical audiences Top Secret clearance Bachelor’s degree in Data Science, Computer Science, Information Science, or Engineering Nice If You Have: 5+ years of experience designing and implementing predictive analytic models and decision-support tools for mission applications Experience using cloud platforms such as AWS to deploy and optimize data solutions Experience with Agile development tools like JIRA and Confluence Experience collaborating with cross-functional, multidisciplinary teams on mission-critical projects Knowledge of geospatial data formats such as GeoJSON and WKT or ISR workflows Knowledge of real-time streaming design patterns, event-driven data workflows, and data governance frameworks Knowledge of IC-compliant standards and processes for managing sensitive or classified data Possession of excellent problem-solving, analytical, and communication skills TS/SCI clearance Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. 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Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. 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