Data Visualization Engineer

Booz Allen HamiltonMonterey, CA
Remote

About The Position

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. On our team, you’ll use your leadership skills and data science expertise to 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 guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they 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.

Requirements

  • Experience with Data analysis, such as recognizing and investigating data quality and various data types, including discerning structure and relationships within data.
  • Experience with Data visualization, such as creating charts with basic design principles.
  • Experience with Data pipeline engineering, such as executing data transformation stages.
  • Experience with programming languages, including Python, R, or SQL, for data manipulation and analysis.
  • Experience working in Foundry, including building or maintaining data pipelines with Code Repository.
  • Knowledge of database-driven application development and design.
  • Ability to develop and maintain interactive dashboards and visualizations in Foundry, Power BI, Tableau, or Qlik to communicate data insights to business stakeholders.
  • Ability to collaborate with business analysts or users to clarify requirements.
  • Ability to work closely with different business groups to comprehend and respond to their reporting and dashboard needs.
  • Self-motivated.
  • Pay strict attention to detail.
  • Secret clearance.
  • Bachelor's degree.

Nice To Haves

  • Experience with analytics and data science techniques, including AI/ML.
  • Experience with DoD clients.
  • Experience with Army data systems.
  • Knowledge of front-end design and data visualization techniques and best practices.
  • Knowledge of Military terms.
  • Ability to learn technical concepts quickly and communicate with multiple functional groups.
  • Possession of excellent verbal and written communication skills.
  • Possession of strong analytical, problem-solving, and critical thinking skills.
  • Master’s degree in CS, Data Science, or Computer Engineering.

Responsibilities

  • Create real-world impact by using leadership skills and data science expertise.
  • Work closely with clients to understand their questions and needs.
  • Dig into data-rich environments to find pieces of their information puzzle.
  • Guide teammates and lead the development of algorithms and systems.
  • Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise clients.
  • Provide a deep understanding of the data, what it all means, and how it can be used.
  • Develop and maintain interactive dashboards and visualizations in Foundry, Power BI, Tableau, or Qlik to communicate data insights to business stakeholders.
  • Collaborate with business analysts or users to clarify requirements.
  • Work closely with different business groups to comprehend and respond to their reporting and dashboard needs.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards program.
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