Data Scientist: ML, NLP & IoT for Real-World Impact

Booz Allen Hamilton

Huntsville (AL)

On-site

USD 113,000 - 257,000

Full time

14 days+
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Job summary

Booz Allen Hamilton is seeking a Data Scientist for our Huntsville, AL office. You will lead data-driven initiatives, exploring structured and unstructured data, and developing predictive models while collaborating with clients to solve national security and civilian challenges.

The role requires strong experience in data exploration, analysis, and visualization, plus proficiency in Python, R, SQL, and ML methods.

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.
  • 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.
  • TS/SCI clearance.
  • Bachelor’s degree

Responsibilities

  • Lead the development of algorithms and systems for data-driven solutions.
  • Guide teammates and collaborate with clients to understand questions and translate into data-focused analyses.
  • Turn data into actionable insights to inform client decisions across complex programs.
  • Communicate findings and provide deep understanding of data context and implications.

Skills

Data exploration
Data cleaning
Data analysis
Data visualization
Data mining
Statistical programming
Python
R
SQL
NoSQL
NLP
Machine learning
Leadership

Education

Bachelor’s degree

Tools

Maven Smart Systems
Palantir Foundry
Python
R
SQL
NoSQL
MapReduce
Hadoop
Hive
Kafka
Spark
Gurobi
MySQL

Job description

Booz Allen Hamilton is seeking a Data Scientist for our Huntsville, AL office. You will lead data-driven initiatives, exploring structured and unstructured data, and developing predictive models while collaborating with clients to solve national security and civilian challenges.

The role requires strong experience in data exploration, analysis, and visualization, plus proficiency in Python, R, SQL, and ML methods.

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