Data Scientist, Mid
Booz Allen Hamilton•San Diego, CA
•$77,600 - $176,000
About The Position
As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients address challenges across private and public sectors. You will work closely with clients to understand their questions and needs, explore data-rich environments, and develop algorithms and systems using appropriate tools and frameworks. Your work will turn disparate data into useful, objective insights that support informed decisions and provide a deeper understanding of what the data means and how it can be used.
Requirements
- Experience with data analysis or data operations.
- Knowledge of statistical and general-purpose programming languages for data analysis, including Python, SQL, or R.
- Knowledge of predictive data models, quantitative analyses, or visualization of targeted data sources.
- Knowledge of text mining or machine learning techniques.
- Ability to conduct data exploration, data cleaning, data analysis, data visualization, data mining, or develop data dashboards, data management tools, or data modeling tools.
- Secret clearance required.
- Bachelor’s degree.
Nice To Haves
- At least 2 years of experience developing algorithms using R, Python, or SQL and NoSQL.
- At least 2 years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
- At least 2 years of experience with machine learning, AI, or NLP.
- Experience with Palantir Foundry.
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
- Experience with Business Intelligence (BI) or data visualization tools such as Power BI, Tableau, or Qlik.
- TS/SCI clearance.
- Bachelor’s degree in an analytical or engineering field preferred, such as CS, Data Science, Computer Engineering, or Systems Engineering.
- Master’s degree in an analytical or engineering field is a plus, such as CS, Data Science, Business Analytics, Computer Engineering, or Systems Engineering.
Responsibilities
- Work with clients to understand their questions and needs.
- Explore client data and identify useful information.
- Develop algorithms and systems using appropriate tools and frameworks.
- Turn disparate data points into objective answers to support informed decisions.
- Conduct data exploration, cleaning, analysis, visualization, and mining, and develop data dashboards, data management tools, or data modeling tools.
Benefits
- Health, life, and disability benefits
- 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
Mid Level
