This role pays less than
95%
of similar roles. Most pay
$126,800–$196,387
— the shaded band above.
At the midpoint, this role pays about
$102k
versus about
$162k
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
780 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 757 roles with salary data.
As a Data Scientist, Junior, you will join a team dedicated to transforming complex structured and unstructured data into actionable information to solve global challenges across various sectors. You will work closely with clients to gather requirements, analyze data-rich environments, and develop algorithms and systems that provide objective answers for informed decision-making. Your daily responsibilities include performing data exploration, cleaning, analysis, mining, and visualization while developing predictive models and quantitative analyses. The role requires proficiency in statistical and general-purpose programming languages, as well as knowledge of Machine Learning, Artificial Intelligence, and Natural Language Processing. Preferred technical skills include experience with R, Python, SQL, NoSQL, Spark, Hadoop, and Plotly. You will apply these tools to address complex problems such as fraud detection, cancer research, and national intelligence within a high-security environment requiring a Secret clearance.
What does a Data Scientist earn in Virginia?
Median $145200 from 77 postings across 6 companies.
Analyze and clean large sets of structured and unstructured data to find actionable information.
Gather requirements from clients to understand their specific questions and needs.
Develop algorithms and systems using machine learning, artificial intelligence, and natural language processing.
Build predictive data models and perform quantitative analyses on targeted data sources.
Create data visualizations to turn disparate data points into objective answers for client decision-making.
Perform data mining and exploration to solve complex problems in fields like fraud detection or research.
Translate complex data findings into a deep understanding of what the information means for the client.
What we're looking for
Experience with data exploration, cleaning, analysis, visualization, or 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 develop predictive data models, quantitative analyses, and visualization of targeted data sources.
Ability to deploy natural language processing, text mining, or machine learning techniques.
Ability to obtain a Secret clearance; HS diploma or GED required. (preferred: Master's degree, TS/SCI clearance, and experience with specific tools like Palantir Foundry, Databricks, or Spark).
Machine Learning
Python
R
SQL
NoSQL
Natural Language Processing
Data Mining
Data Visualization
Hadoop
Spark
Kafka
Hive
EMR
MapReduce
Gurobi
MySQL
Plotly
Seaborn
ggplot2
TS/SCI