Senior Data Scientist

About the role

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