Remote Junior Data Scientist — AI/ML for Global Impact

Booz Allen Hamilton; Quantico (VA); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Junior Data Scientist to unlock insights from complex data sets across private and public sectors. You will partner with clients, explore data, and translate questions into data-driven models and visualizations that inform decisions.

The role emphasizes learning from teammates, developing algorithms, and applying ML/AI techniques to real-world problems while supporting security and mission objectives.

Qualifications

• Experience with data exploration, cleaning, analysis, visualization, or mining.
• Experience with statistical and general-purpose programming languages for data analysis.
• Ability to gather requirements from customers.
• Knowledge of structured and unstructured data sources.
• Knowledge of Machine Learning, AI, or NLP.
• Ability to develop predictive data models and visualizations.
• Ability to deploy NLP, text mining, or ML techniques.
• Ability to obtain a Secret clearance.
• HS diploma or GED.

Responsibilities

• Analyze and transform large data sets to extract actionable insights.
• Collaborate with clients to understand questions and translate them into data solutions.
• Develop algorithms and systems to turn data into objective answers.
• Apply ML/AI techniques and visualization to support decision making.

Skills

Data exploration

Data cleaning

Data analysis

Data visualization

Data mining

Statistical programming

Requirements gathering

Structured/unstructured data

ML/AI/NLP knowledge

Predictive modeling

NLU/ML deployment

Security clearance

HS diploma or GED

Education

HS diploma or GED

Master’s degree

Tools

Palantir Foundry Maven Smart System

MapReduce

Hadoop

Hive

EMR

Kafka

Spark

Gurobi

MySQL

Plotly/Seaborn/ggplot2

Databricks

Job description

Booz Allen Hamilton is seeking a Junior Data Scientist to unlock insights from complex data sets across private and public sectors. You will partner with clients, explore data, and translate questions into data-driven models and visualizations that inform decisions.

The role emphasizes learning from teammates, developing algorithms, and applying ML/AI techniques to real-world problems while supporting security and mission objectives.