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.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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 componen