Data Scientist, Senior

Booz Allen Hamilton•Alexandria, VA

2d•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

10+ years of experience applying advanced geospatial or data science technologies to deliver actionable and mission-focused insights
5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
4+ years of experience working with SQL or NoSQL databases and cloud architectures
Experience in GIS platforms, Python-based analytics, and large-scale data processing
Experience leveraging API’s to query systems and migrate data
Experience with programming languages such as Python, JavaScript, or Java
Experience working with NGA IT enterprise solutions, NGA CORE, NGA MLOps, Government Authority to Operate (ATO), or Government Non-Person Entity (NPE)
Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree in Geospatial Sciences, Computer Science, or Data Science

Nice To Haves

Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise
Experience developing dynamic visualizations to monitor availability, currency, and volumetrics of operational data pipelines
Possession of excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences

Responsibilities

Use leadership skills and data science expertise to create real-world impact.
Work closely with clients to understand their questions and needs.
Dig into data-rich environments to find the 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 your clients as they make informed decisions.
Provide a deep understanding of the data, what it all means, and how it can be used.