Data Scientist Booz Allen Hamilton

Data Scientist @ Booz Allen Hamilton

Job Technologies

• JavaScript
• QlikView
• CSS
• Maven
• Power BI
• R
• Tableau
• Qlik
• SharePoint
• Qlik Sense
• Python
• SQL
• Apache Spark
• Node.js

Your role in the team

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.

Our expectations of you

Education

• Bachelor's degree

Qualifications

• Ability to work shift work as needed for contingency operations supporting 24/7 operations
• Ability to understand and decompose stakeholder needs effectively, communicate development plans, track progress milestones, and present outputs to both technical and non-technical stakeholders
• Top secret clearance
• Possession of excellent organizational and time management skills to handle multiple tasks
• Possession of excellent critical thinking skills to assess numbers, trends, and data to reach new conclusions based on findings
• Possession of excellent quantitative skills, including statistical analysis, process design, and data management
• IAT or IAM Level II Certification, including GSEC, Sec+, CASP+, GICSP, CEH, CISM, or CISSP,
• Qlik Data Architect, Qlik Data Analyst, or QlikView Developer Certification
• Databricks Data Engineer Associate, Databricks Data Analyst Associate, or Databricks Apache Spark Developer Associate Certification

Experience

• 3+ years of experience with software development
• 3+ years of experience with data science or analytics
• Experience with BI Dashboard tools, including Qlik Sense, Tableau, or Power BI
• Experience with building robust analytical models, including forecasts, cost models, and historical trend analyses
• Experience with SQL, Python, or R
• Experience with Qlik dashboarding, development functions, and mashups
• Experience with using DataBricks to perform data transformations or modeling
• Experience with using Cloud Native Services and web technologies, including JavaScript, CSS, Node.js, or Enignma.js
• Experience at a Joint Staff, COCOM, or component level
• Experience with Advanced Analytics (ADVANA), Maven, SharePoint, or Microsoft PowerAutomate