Data Scientist – AI, IoT & Predictive Analytics

Booz Allen Hamilton; Rome (GA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Scientist to unlock insights from large, complex datasets across varied domains including IoT, fraud detection, and national intelligence. You will lead data-driven projects, design predictive models, and collaborate with clients to translate questions into data solutions.

The role requires strong data science expertise, effective communication at the strategic level, and a secret clearance.

Qualifications

• 4+ years of data exploration, data cleaning, data analysis, data visualization, or data mining.
• 4+ years of experience with statistical and general-purpose programming languages for data analysis.
• 4+ years of experience analyzing structured and unstructured data sources.
• Experience designing a data pipeline for structured and unstructured data sources.
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
• Experience leading the development of solutions to complex problems.
• Ability to communicate succinctly at the strategic level while maintaining technical credibility under scrutiny.
• Secret clearance
• Bachelor’s degree

Responsibilities

• Lead the development of algorithms and data systems.
• Work with clients to understand questions and needs and translate them into data-driven solutions.
• Turn sets of disparate data points into actionable insights to advise clients.
• Guide teammates and deliver real-world impact.

Skills

Leadership

Strategic communication

Data analysis

Data visualization

Problem solving

Mentoring teammates

Education

Bachelor's degree

Tools

Python

R

SQL

NoSQL

MapReduce

Hadoop

Spark

Plotly

Seaborn

ggplot2

Job description

Booz Allen Hamilton is seeking a Data Scientist to unlock insights from large, complex datasets across varied domains including IoT, fraud detection, and national intelligence. You will lead data-driven projects, design predictive models, and collaborate with clients to translate questions into data solutions.

The role requires strong data science expertise, effective communication at the strategic level, and a secret clearance.