Data Scientist

Booz Allen Hamilton•Usa, DC

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

5+ years of experience in data science or analytics
1+ years of experience with natural language processing or text mining
Experience with Excel spreadsheets to include formulas and data structures for data analysis and reporting
Experience in Python programming to support data extraction, data cleaning, data mining, data transformations, and data analysis
Experience analyzing structured and unstructured data sources
Experience with query languages like Structured Query Language (SQL) variants to efficiently query and manage large datasets
Experience with Document Store Databases such as Elasticsearch and ArangoDB
Experience with Graph Databases concepts of nodes and edges
Experience with data visualization using Kibana, Tableau, or Power Bi to present data insights clearly through dashboards, charts, and graphs
TS/SCI clearance
Bachelor’s degree

Nice To Haves

Experience with DevOps to include Docker and Kubernetes in support of application deployments and monitoring
Experience with developing predictive data models
Experience in the developments of algorithms leveraging R, Python, or SQL
Experience with Web Development programming languages in support of Graphical User Interfaces (GUI)
Experience with all-source analysis combining technical intelligence expertise with analytical and communication skills to synthesize information from multiple sources and produce actionable intelligence

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 information.
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.
Produce detailed written intelligence reports and assessments.