Booz Allen

aerospace

DataScientist,Senior

$99–99k Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Scientist, Senior at Booz Allen. Skills: Python, Machine Learning, Data Science, Predictive Analytics. Develop data collection tools. Develop data visualizations”

What You'll Achieve.

improve Air Force mission solutions; turn complex data sets into useful information; solve global challenges; help Air Force leaders make informed decisions

Industry & Context.

aerospace
Problems you'll solve

analytical skills; problem-solving skills

Eligibility Requirements

Top Secret clearance, TS/SCI clearance, security investigation, eligibility requirements for access to classified information

What They're Looking For.

Must Have

5+ years of experience with Python-based data analysis, 5+ years of experience designing and implementing API-based data integration pipelines, Experience working with structured and unstructured datasets, Knowledge of statistical concepts, mathematical modeling, optimization techniques, Ability to communicate and share insights, Top Secret clearance, Bachelor’s degree in Data Science, Computer Science, Information Science, or Engineering

Nice to Have

5+ years of experience designing and implementing predictive analytic models, decision-support tools for mission applications, Experience using cloud platforms such as AWS, Experience with Agile development tools, Experience collaborating with cross-functional, multidisciplinary teams, Knowledge of geospatial data formats, Knowledge of real-time streaming design patterns, event-driven data workflows, data governance frameworks, Knowledge of IC-compliant standards and processes, Possession of excellent problem-solving, analytical, and communication skills, TS/SCI clearance

What You'll Do.

Develop data collection tools

Develop data visualizations

Conduct predictive analytics

Leverage machine learning

Provide customer understanding

How You'll Work.

Team & Collaboration

Work closely with customer; Collaborate with cross-functional teams

Communication Scope

communicate and share insights; communication skills

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 * 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 communic

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