below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$126,800–$204,800.
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
1662 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 904 roles with salary data.
As a Data Scientist, you will join a team dedicated to transforming complex structured and unstructured data into objective answers to solve global challenges. You will work closely with clients to understand their specific needs, digging into data-rich environments to develop algorithms and systems. Your daily responsibilities include data exploration, cleaning, analysis, mining, and the creation of predictive data models and quantitative analyses. You will utilize statistical and general-purpose programming languages, including R, Python, SQL, and NoSQL. The role requires knowledge of Machine Learning, Artificial Intelligence, Natural Language Processing, and text mining. You may also use tools like Databricks, Hadoop, Spark, and Palantir Foundry. This work addresses critical problems across private and public sectors, including fraud detection, cancer research, and national intelligence.
What does a Data Scientist earn in Virginia?
Median $162000 from 89 postings across 9 companies.
Analyze structured and unstructured data sources to solve complex global challenges.
Develop algorithms and systems to turn disparate data points into objective answers.
Build predictive data models and perform quantitative analyses.
Create data visualizations to help clients make informed decisions.
Use machine learning, artificial intelligence, and natural language processing techniques.
Perform data exploration, cleaning, and mining to identify key information.
Translate complex data sets into actionable insights for private and public sector clients.
What we're looking for
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
2+ years of experience with statistical and general-purpose programming languages for data analysis.
Experience analyzing structured and unstructured data sources.
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP).
Knowledge of text mining or machine learning techniques.
2+ years of experience in the development of algorithms leveraging R, Python, SQL, or NoSQL (preferred).
2+ years of experience with distributed data or computing tools including Databricks, MapReduce, Hadoop, Hive, EMR, Kafka, Apache Spark, Gurobi, or MySQL (preferred).
2+ years of experience with Machine Learning, AI, or NLP (preferred).
Experience with Palantir Foundry (preferred).
Experience with visualization packages, including Plotly, Seaborn, or ggplot2 (preferred).