Data Scientist, Mid
$77.6k - $176kBOOZ, ALLEN & HAMILTON, INC.
Data Scientist, Mid
The Opportunity:
On our team, you'll use your analytical skills to help create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll work with and learn from your teammates as you develop algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have:
- Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining
- Experience with statistical and general-purpose programming languages for data analysis such as Python, R, or SQL
- Knowledge of statistical analysis, predictive modeling, and machine learning methods
- Ability to design and develop automated analytic software, techniques, and algorithms
- TS/SCI clearance with a polygraph
- Bachelor's degree and 3+ years of experience with data science or 7+ years of experience with data science in lieu of a degree
- Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines
- Experience with intelligence or operations analysis in the DoD or Intelligence Community
- Experience working in a Joint Staff environment
- Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
- Knowledge of version control tools, including Git, GitLab, GitHub, or Bitbucket
- Knowledge of DevOps, including CI/CD pipelines and Jenkins
- Ability to use data visualization tools, including COTS software such as Tableau, Power BI, or ArcGIS, or FOSS libraries such as seaborn, matplotlib, or ggplot
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Vacancy posted 3 days ago
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