below marketmost similar roles pay hereabove market
This role pays more than
65%
of similar roles. Most pay
$117,500–$187,500
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$152k
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
1504 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 918 roles with salary data.
The Technology-Enabled Analytic Methodologist joins the data science team to transform complex structured and unstructured data into objective answers for global challenges. In this role, you will work closely with clients to understand their specific needs, digging into data-rich environments to solve information puzzles. You will develop algorithms and systems using a combination of tools and frameworks to provide deep data understanding for informed decision-making. Key responsibilities include data exploration, cleaning, analysis, mining, and the development of predictive data models and quantitative analyses. Required skills include statistical and general-purpose programming, machine learning, artificial intelligence, and natural language processing. Preferred technical proficiencies include R, Python, SQL/NoSQL, Hadoop, Spark, and visualization packages like Plotly, Seaborn, or ggplot2. A Secret clearance is required for this position.
Analyze large sets of structured and unstructured data to solve complex global challenges.
Develop algorithms and systems to turn disparate data points into objective answers.
Create predictive data models and perform quantitative analyses on targeted data sources.
Use machine learning, artificial intelligence, and natural language processing techniques to extract insights.
Perform data exploration, cleaning, mining, and visualization to support client decision-making.
Translate complex data findings into a deep understanding of what the information means for the client.
Utilize programming languages and frameworks to build tools for data-rich environments.
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, Natural Language Processing, or text mining techniques.
2+ years of experience in algorithm development leveraging R, Python, or SQL/NoSQL (preferred); 2+ years of experience with distributed data tools (preferred); TS/SCI clearance with a polygraph (preferred); Master’s degree (preferred).