Data Scientist, Senior

Booz Allen Hamilton•Mclean, VA

22h•$99,000 - $225,000

About The Position

Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

5+ years of experience in a data science role
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 with developing and tuning AI / ML algorithms and implementing testing and validation approaches appropriate to available data and validation targets
Experience with natural language processing, text mining, or machine learning techniques
Knowledge of descriptive statistics, regression, and data labeling and classification models
TS/SCI clearance with a polygraph
Bachelor’s degree in Computer Science, Economics, Mathematics, Statistics, Computer Engineering, Electrical Engineering, or Bioinformatics

Nice To Haves

Experience in data extraction, parsing, manipulation, and storage, and quantitative and qualitative analyses
Experience leading technical teams
Experience with data engineering techniques, including for cloud-based data infrastructure and data lake environments
Experience developing custom scripts, queries, or visualizations
Experience with cloud-based tools and services for ML algorithm development on multiple platforms