Data Scientist
About The Position
As a Data Scientist at Booz Allen, you will analyze structured and unstructured data to generate useful information and help solve challenges across public and private sectors. You will work closely with clients to understand their questions and needs, examine data-rich environments, and collaborate with teammates to develop algorithms and systems. Using appropriate tools and frameworks, you will turn disparate data into objective answers that support informed decisions and explain what the data means and how it can be used. The position is based in Stafford, Virginia, and is not listed as remote. Applicants must be able to obtain a Secret clearance and may be subject to a security investigation and eligibility requirements for access to classified information.
Requirements
- At least 2 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
- Experience with statistical and general-purpose programming languages for data analysis.
- Knowledge of machine learning, artificial intelligence, or Natural Language Processing.
- Ability to gather requirements from customers.
- 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.
- Bachelor’s degree.
Nice To Haves
- Experience developing algorithms using R, Python, or SQL and 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, including 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 and needs.
- Explore, clean, analyze, visualize, and mine data.
- Develop algorithms and systems with teammates.
- Use tools and frameworks to transform disparate data into objective answers that inform 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, and disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards program.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
