Data Scientist

Booz Allen Hamilton•Reston, VA

1d•$77,600 - $176,000

About The Position

As a Data Scientist at Booz Allen, you will use analytical skills and data science knowledge to turn complex, structured and unstructured data into useful information that helps clients make informed decisions and address challenges. You will work with clients to understand their questions, investigate data-rich environments, and develop algorithms and systems using appropriate tools and frameworks. The posting also describes responsibilities involving SharePoint and shared-drive information management. These include designing workflows, managing sites and permissions, establishing metadata and governance practices, implementing retention and version-control procedures, supporting security and compliance, optimizing platform use, and preserving institutional knowledge. Coordinate with IT staff on system updates and technical issues, and develop procedures and training to support consistent knowledge-management practices. The position requires a bachelor's degree, at least two years of relevant data analysis or programming experience, and TS/SCI clearance with a polygraph. Compensation is listed as an annualized range of $77,600 to $176,000. Booz Allen describes benefits including health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards.

Requirements

At least 2 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
At least 2 years of experience with statistical and general-purpose programming languages for data analysis.
Experience analyzing structured and unstructured data sources.
Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
TS/SCI clearance with a polygraph is required.
Bachelor's degree.

Nice To Haves

At least 2 years of experience developing algorithms using R, Python, or SQL and NoSQL.
At least 2 years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
At least 2 years of experience with machine learning, AI, or NLP.
Experience with visualization packages such as Plotly, Seaborn, or ggplot2.
Master's degree.

Responsibilities

Design and configure SharePoint workflows for document review and approval, records management, and content lifecycle operations.
Manage SharePoint sites, libraries, permissions, access controls, and security compliance.
Create and maintain site templates and coordinate with IT staff on system updates and technical issues.
Design metadata schemas, content types, and navigation structures to support information discovery and retrieval.
Establish naming conventions, folder structures, and access controls for shared network drives.
Clean up redundant or obsolete shared-drive content and develop governance frameworks for choosing between shared drives and SharePoint.
Implement version-control procedures across SharePoint and shared drives to maintain document history and support audits.
Assist with retention policies and lifecycle-management rules; establish procedures for archiving important content and removing expired materials.
Ensure SharePoint sites and shared drives comply with classification requirements and information security policies.
Conduct access reviews and permission audits, and implement data loss prevention measures while monitoring for security incidents or policy violations.
Evaluate SharePoint capabilities and features, identify platform optimization opportunities, and develop strategies to reduce reliance on legacy shared drives.
Establish processes to capture and preserve institutional knowledge across operational cycles.
Develop standard operating procedures for knowledge management, train personnel on workflows, promote best practices, and manage transitions to new tools or processes.
Analyze data and develop algorithms and systems that turn disparate data points into information clients can use to make decisions.