Data Scientist

Booz Allen Hamilton•Washington, DC

1d•Remote

About The Position

As a Data Scientist at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

3+ years of experience designing, developing, operationalizing, and maintaining complex data applications
3+ years of experience with raw coding of Python Java, or PostgreSQL
3+ years of experience developing code for data manipulation, data analysis, or data modeling
Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications, database administration or data analytics, and structured and unstructured data
Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
Experience in the development of algorithms leveraging Python and SQL and with Python data science and visualization packages
Experience working within a TS environment with onsite development tools
TS/SCI clearance with a polygraph
Bachelor’s degree
CompTIA Security+ Certification

Nice To Haves

8+ years of experience in Extract, Transform, and Load (ETL) processes
2+ years of experience with AI and ML implementation and development
Experience with leading the development of solutions to complex problems
Experience with DevSecOps tools, including GitHub
Experience working within the Intel Community
Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
Experience with Streamlit or Tkinter
Experience with Agile software development

Responsibilities

Overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
Mentoring a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Overseeing the assessment, design, building, and maintenance of scalable platforms for clients.