Data Scientist

• Senior Data Scientist
• 📍 Location: Washington, DC, US
• 🏢 Industry: Software development
• 💼 Work Setting: Hybrid

• Are you a Data Scientist passionate about transforming complex datasets into actionable insights, developing predictive models, and applying Machine Learning and AI to solve mission-critical challenges?
• Booz Allen is seeking a Data Scientist to support national security, intelligence, and government missions by leveraging advanced analytics, machine learning, artificial intelligence, and data visualization techniques. In this role, you will work with structured and unstructured data, develop analytical models, build decision-support capabilities, and help clients uncover meaningful insights from large and complex datasets.
• The ideal candidate combines expertise in data analysis, machine learning, statistical modeling, predictive analytics, visualization, and programming with the ability to communicate findings to both technical and non-technical stakeholders.

• Key Responsibilities
• Data Analysis & Exploration
• Analyze large volumes of structured and unstructured data.
• Perform data discovery and exploratory data analysis (EDA).
• Clean, validate, and prepare datasets for advanced analytics.
• Identify trends, anomalies, and hidden patterns within data.
• Assess data quality and reliability.
• Core Activities
• Data Exploration
• Data Cleaning
• Data Profiling
• Data Mining
• Pattern Recognition
• Machine Learning & Artificial Intelligence
• Develop and implement machine learning solutions.
• Apply AI techniques to solve complex business and mission problems.
• Build predictive and classification models.
• Evaluate model performance and optimize outcomes.
• Support intelligent decision-making capabilities.
• Areas of Focus
• Machine Learning
• Artificial Intelligence
• Natural Language Processing (NLP)
• Predictive Analytics
• Text Mining
• Model Development & Statistical Analysis
• Design and develop predictive data models.
• Perform quantitative analyses and statistical assessments.
• Build analytical frameworks to support operational decisions.
• Evaluate relationships and trends within complex datasets.
• Generate actionable recommendations from analysis results.
• Techniques
• Regression Analysis
• Classification Models
• Clustering
• Forecasting
• Statistical Modeling
• Data Visualization & Storytelling
• Create meaningful visualizations to communicate analytical findings.
• Transform complex data into easy-to-understand insights.
• Develop dashboards, reports, and presentations.
• Support stakeholders in interpreting analytical outcomes.
• Promote data-driven decision-making.
• Visualization Tools
• Plotly
• Seaborn
• ggplot2
• Other Business Intelligence and Visualization Platforms
• Structured & Unstructured Data Analytics
• Analyze diverse data sources including:
• Databases
• Documents
• Text Data
• Sensor Data
• Log Files
• Open-Source Intelligence
• Combine multiple data sources to generate actionable intelligence.
• Support advanced information extraction and enrichment initiatives.
• Algorithm Development
• Design and develop analytical algorithms.
• Build reusable data science solutions.
• Improve scalability and efficiency of analytical workflows.
• Support automation of complex analytical processes.
• Apply advanced mathematical and computational techniques.
• Programming Technologies
• Python
• R
• SQL
• NoSQL Technologies
• Big Data & Distributed Computing
• Work with large-scale datasets using distributed computing technologies.
• Support scalable analytical processing environments.
• Optimize data pipelines and analytical workloads.
• Enable enterprise-level data science capabilities.
• Technologies
• Databricks
• Apache Spark
• Hadoop
• Hive
• Kafka
• EMR
• MapReduce
• MySQL
• Gurobi
• Client Engagement & Consulting
• Collaborate directly with clients to understand business problems.
• Gather analytical requirements and mission objectives.
• Translate complex technical findings into business value.
• Support critical decision-making through data-driven insights.
• Deliver recommendations to leadership and stakeholders.
• Intelligence & Mission Support
• Apply data science techniques to support government, defense, and intelligence missions.
• Develop solutions that improve operational effectiveness.
• Support high-priority analytical initiatives.
• Enable informed decision-making using data-driven evidence.

Qualifications

• Education
• Required
• Bachelor's Degree in:
• Data Science
• Computer Science
• Mathematics
• Statistics
• Engineering
• Operations Research
• Related Quantitative Field
• Preferred
• Master's Degree in:
• Data Science
• Computer Science
• Artificial Intelligence
• Statistics
• Mathematics
• Related Technical Discipline
• Required Experience
• Data Science & Analytics
• 2+ years of experience in:
• Data Exploration
• Data Analysis
• Data Cleaning
• Data Visualization
• Data Mining
• Experience working with structured and unstructured datasets.
• Experience developing predictive analytics solutions.
• Experience communicating analytical insights effectively.
• Programming
• 2+ years of experience using statistical or general-purpose programming languages for analysis.
• Experience developing analytical solutions using:
• Python
• R
• SQL
• Machine Learning & AI
• Required
• Knowledge of:
• Machine Learning
• Artificial Intelligence
• Natural Language Processing (NLP)
• Text Mining
• Predictive Modeling
• Preferred Experience
• Advanced Analytics
• 2+ years of experience developing algorithms using:
• Python
• R
• SQL
• NoSQL Technologies
• Experience designing scalable analytical solutions.
• Experience developing production-ready machine learning models.
• Big Data Technologies
• Databricks
• Spark
• Hadoop
• Hive
• Kafka
• EMR
• MapReduce
• Distributed Computing Platforms
• Palantir Foundry
• Experience building and supporting analytical workflows in Palantir Foundry.
• Experience leveraging Foundry for large-scale analytics and data integration.
• Visualization Tools
• Experience with:
• Plotly
• Seaborn
• ggplot2
• Advanced Visualization Frameworks
• Security Requirements
• Required
• Active TS/SCI Clearance
• Preferred
• TS/SCI with Polygraph
• Professional Competencies
• Analytical Thinking
• Problem Solving
• Critical Thinking
• Data Storytelling
• Communication Skills
• Curiosity
• Collaboration
• Attention to Detail
• Research Mindset
• Client Focus

• Core Competencies
• Data Science
• Data Analytics
• Machine Learning
• Artificial Intelligence
• NLP
• Predictive Modeling
• Statistical Analysis
• Python
• R
• SQL
• Data Visualization
• Databricks
• Spark
• Hadoop
• Kafka
• Palantir Foundry
• Text Mining
• Big Data Analytics
• Intelligence Analytics
• Decision Support