Data Scientist, Junior
About The Position
As a junior Data Scientist at Booz Allen, you will analyze complex structured and unstructured datasets to help clients solve problems and make informed decisions. You will work with clients to understand their questions and requirements, explore data-rich environments, and collaborate with teammates to develop algorithms and systems. You will use appropriate tools and frameworks to turn disparate data into useful information, including applying data science to real-world challenges across public and private sectors. The position is listed as not remote and is located in Stafford, Virginia, with Quantico, Virginia, also listed as an additional location.
Requirements
- Experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
- Experience with statistical and general-purpose programming languages for data analysis.
- Ability to gather requirements from customers.
- Knowledge of structured and unstructured data sources.
- Knowledge of machine learning, artificial intelligence, or natural language processing.
- Ability to develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
- Ability to deploy natural language processing, text mining, or machine learning techniques.
- Ability to obtain a Secret clearance.
- High school diploma or GED.
Nice To Haves
- Experience developing algorithms using R, Python, SQL, or NoSQL.
- Experience with Palantir Foundry Maven Smart System.
- Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
- Experience with visualization packages such as Plotly, Seaborn, or ggplot2.
- Experience with War Data Platform (WDP) or Advana.
- Experience with Databricks.
- TS/SCI clearance.
- Master’s degree.
Responsibilities
- Work with clients to understand their questions, needs, and requirements.
- Explore data-rich environments and analyze structured and unstructured data.
- Develop algorithms and systems in collaboration with teammates.
- Use tools and frameworks to turn disparate data into objective answers that support client decisions.
- Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
- Deploy natural language processing, text mining, or machine learning techniques.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards program.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
High school or GED
