Data Scientist — AI/ML & Data Strategy Leader

Booz Allen Hamilton; Lexington Park (MD); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Scientist to unlock insights from large data sets across IoT, ML, and AI applications. You will lead data exploration, modeling, and visualization while collaborating with clients to solve real-world problems in public and private sectors.

Qualifications include 5+ years in data science roles, experience with NLP, ML techniques, and a Secret clearance. The role emphasizes leadership and the development of robust algorithms to inform program decisions.

Qualifications

• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 5+ years of experience with statistical and general-purpose programming languages for data analysis.
• 5+ years of experience analyzing structured and unstructured data sources.
• 4+ years of experience with LLM development and AI Bot development.
• 4+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL.
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
• Experience leading the development of solutions to complex programs.
• Experience with natural language processing, text mining, or machine learning techniques.
• Secret clearance.
• Bachelor’s degree.

Skills

Data exploration

Data cleaning

Data analysis

Data visualization

Data mining

Statistical programming

General-purpose programming for data

NLP

Text mining

Machine learning techniques

LLM development

AI Bot development

Algorithm development

Leadership

Secret clearance

Education

Bachelor’s degree

Tools

Plotly

Seaborn

ggplot2

Job description

Booz Allen Hamilton is seeking a Data Scientist to unlock insights from large data sets across IoT, ML, and AI applications. You will lead data exploration, modeling, and visualization while collaborating with clients to solve real-world problems in public and private sectors.

Qualifications include 5+ years in data science roles, experience with NLP, ML techniques, and a Secret clearance. The role emphasizes leadership and the development of robust algorithms to inform program decisions.