Data Scientist

Booz Allen Hamilton•San Diego, CA

36d

About The Position

Data Scientist 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 analytical skills and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients 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

1+ years of experience in machine learning, software development, or data science in a professional environment
Experience with data science, data analytics, machine learning, or statistics
Experience writing sof tware in programming languages, including Python, C++, Java, or R
Experience with identifying and analyzing data sets to meet customer requirements
Experience with preparing customer data for models, including merging and aggregating data, handling anomalies, balancing, and feature selection
Knowledge of Cloud services, including AWS, Azure, or Google Cloud
Ability to help interpret model results and communicate them clearly through compelling data visualizations
Ability to explain analytic and model findings to non-technical audiences
Secret clearance
Bachelor’s degree

Nice To Haves

Experience with supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction
Experience with DoD information systems
Experience with Palantir products such as AIP, and Foundry
Experience with self-service analytics and visualizations tools such as Qlik, Tableau, Power Platform, or PowerBI
Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets
Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models
Experience with Agile development
Experience with CI / CD, including Git, Jenkins, and Docker
Knowledge of procedural SQL language, including PL or pgSQL
Master’s degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, Sof tware Engineering or a related field