Job Summary
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 artificial 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.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 2 years
Job Description/Requirements
Nice To Have:
- 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 with analyzing structured and unstructured data sources
- Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
- Knowledge of text mining or machine learning techniques
- Ability to obtain a security clearance
- Bachelor’s degree
Nice If You Have:
- 2+ years of experience with the development of algorithms leveraging R, Python, or SQL and NoSQL
- 2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- 2+ years of experience with Machine Learning, AI, or NLP
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
- Secret clearance
- Master’s degree
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