This role pays more than
64%
of similar roles. Most pay
$135,000–$184,787
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$160k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
1385 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 911 roles with salary data.
Data Scientist, Senior will join the team to provide data science solutions for Navy mission objectives. The role involves collaborating with customers to identify specific needs and analyzing data-rich environments to uncover critical information. Day-to-day responsibilities include developing algorithms, writing scripts, building predictive analytics, and applying machine learning techniques to transform disparate data points into objective answers that assist military leaders in making informed decisions. Candidates must possess a Secret clearance and experience with statistical software like SAS or R, as well as programming proficiency in Python, R, C, or Java. Additional technical competencies include knowledge of ETL or ELT data engineering practices, and potentially natural language processing, simulation modeling, and experimental design for data modeling processes to solve complex problems within the defense sector.
What does a Data Scientist earn?
Median $162000 from 295 postings across 61 companies.
Analyze complex structured and unstructured data sets to identify key information.
Develop algorithms and write scripts to process disparate data points into objective answers.
Build predictive analytics models using machine learning and appropriate frameworks.
Translate customer requirements into actionable data science solutions for Navy mission goals.
Provide customers with deep insights into what their data means and how to use it.
Implement data engineering practices, including ETL or ELT processes.
Develop statistical and simulation models to determine cause and effect relationships.
Apply natural language processing techniques such as topic modeling and contextual text mining.
What we're looking for
8+ years of experience analyzing data.
8+ years of experience using statistical software applications, including SAS or R.
5+ years of experience developing data science solutions in Python, R, C, or Java.
Knowledge of data engineering practices, including ETL or ELT.
5+ years of experience with developing statistical and simulation models (preferred).
Master's degree in Data Science, Applied Mathematics, Computer Science, Engineering, Statistics, Physics, Computer Networks, or Operations Research (preferred).
Python
Machine Learning
Artificial Intelligence
TensorFlow
PyTorch
Data Mining
Feature Engineering
Clustering
Anomaly Detection
Optimization
Modeling and Simulation
Linux
Windows
Statistics
Operations Research
IoT
VSAT