Unlocking the secrets held by a data set and solving global challenges using data science, IoT, machine learning, and artificial intelligence at Booz Allen
Requirements
- Experience with data science, data analytics, machine learning, or statistics
- Experience writing software in programming languages, including Python, C++, Java, or R
- Knowledge of Cloud services, including AWS, Azure, or Google Cloud
- Experience with supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction
- Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets
- Knowledge of procedural SQL language, including PL or pgSQL
- Experience with Agile development and CI/CD, including Git, Jenkins, and Docker
Responsibilities
- Develop algorithms and systems to turn sets of disparate data points into objective answers
- Use the right combination of tools and frameworks to analyze data-rich environments
- Identify and analyze data sets to meet customer requirements
- Prepare customer data for models, including merging and aggregating data, handling anomalies, balancing, and feature selection
- Interpret model results and communicate them clearly through compelling data visualizations
- Explain analytic and model findings to non-technical audiences
- Work with clients to understand their questions and needs
Other
- Ability to obtain a Secret clearance
- Bachelor’s degree
- 3+ years of experience in a professional environment
- Ability to work with clients to understand their questions and needs
- Ability to explain complex technical concepts to non-technical audiences
