Data Scientist, Mid
At a glance
AI generatedTL;DR
As a mid-level Data Scientist, you will collaborate closely with clients to uncover insights from their complex data environments, addressing specific business questions and needs. This role involves developing algorithms using R, Python, or SQL, working with distributed computing tools like Hadoop, Spark, and Kafka, and leveraging BI tools such as Power BI for data visualization. You will contribute to projects that require a strong understanding of analytical fields, including computer science and systems engineering, and may involve handling classified information with TS/SCI clearance. This position is ideal for someone looking to solve challenging business problems at scale within a dynamic team environment.
Skills
What you'll do
- Develop algorithms using R, Python, or SQL to analyze complex data sets.
- Utilize distributed computing tools like Hadoop and Spark for big data processing.
- Create visualizations with BI tools such as Tableau or Power BI to communicate insights.
- Collaborate with clients to identify their data needs and provide tailored solutions.
- Maintain up-to-date knowledge of emerging trends in data science and analytics.
What we're looking for
- Secret clearance required.
- Bachelor’s degree in an analytical or engineering field preferred.
- 2+ years of experience developing algorithms using R, Python, or SQL/NoSQL.
- Experience with distributed data/computing tools like Hadoop, Spark, Kafka, etc.
- Familiarity with Business Intelligence and data visualization tools such as Power BI, Tableau.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has 641 open roles on FindRole.
Listed pay typically runs $86,800–$198,000 across 628 roles with salary data.
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