Senior Data Scientist

Job Number: R0239434

Data Scientist, Senior
The Opportunity:

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help 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-we need you to help find the answers in the data.

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions.

Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can't wait.

You Have:

• 5+ years of experience in data science, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
• 4+ years of experience working with SQL or No
  
  SQL databases and cloud architectures
• Experience leveraging APIs to query systems and migrate data
• Experience using Python to manipulate and analyze data
• Experience using data manipulation and extract, transform, and load (ETL) procedures
• Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces
• Experience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insights
• Experience with communicating information in oral or written formats to an audience with varying technical knowledge and expertise
• TS/SCI clearance
• Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics

Nice If You Have:

• Experience working with enterprise IT capabilities, Government ATO processes, and NPE certificates
• Experience implementing processes, standards, and tools within an organization based on SAFe
• Experience developing dynamic visualizations to monitor availability, currency, and volumetrics of operational data pipelines
• Experience working with AI and ML technologies
• Knowledge of commercial Cloud services used by the IC
• Master's degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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…