Data Scientist — AI, ML & Data for Global Impact

Booz Allen Hamilton; Virginia (MN); Hybrid; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a data scientist to turn large, structured and unstructured data into actionable insights across public and private sectors. You’ll work with clients to understand questions and needs, then dive into data-rich environments to derive answers and build predictive models.

You will develop algorithms using ML/AI/NLP techniques, deploy solutions, and collaborate with teammates to deliver real-world impact while navigating security and eligibility requirements for

Qualifications

• Experience with data exploration, data cleaning, data analysis, data visualization, or data 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, Artificial Intelligence, or Natural Language Processing
• Ability to deploy natural language processing, text mining, or machine learning techniques
• Ability to obtain a Secret clearance
• HS diploma or GED

Responsibilities

• Work with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle.
• Develop algorithms and systems using ML/AI/NLP techniques to turn data into actionable insights.
• Collaborate with teammates to deliver real-world impact and support decision making.

Skills

Data exploration

Data cleaning

Data analysis

Data visualization

Data mining

Statistical programming

Machine Learning

Artificial Intelligence

Natural Language Processing

Requirements gathering

Education

HS diploma or GED

Master's degree

Tools

Palantir Foundry

Maven

Hadoop

Spark

Databricks

SQL

NoSQL

Job description

Booz Allen Hamilton is seeking a data scientist to turn large, structured and unstructured data into actionable insights across public and private sectors. You’ll work with clients to understand questions and needs, then dive into data-rich environments to derive answers and build predictive models.

You will develop algorithms using ML/AI/NLP techniques, deploy solutions, and collaborate with teammates to deliver real-world impact while navigating security and eligibility requirements for