Data Scientist, Lead

Booz Allen Hamilton•Tampa, FL

1d•Remote

About The Position

As a senior 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 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. We need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Join us. The world can’t wait.

Requirements

10+ years of experience with programming languages, including R, Python, or C, and working with structured, unstructured, or semi-structured data in support of scientific or economic analysis
Experience designing, developing, or leveraging relational database management systems (RDBMS) such as PostgreSQL or MS SQL
Experience creating software for retrieving, parsing, and processing structured and unstructured data and developing scalable ETL/ELT workflows for reporting and analytics
Experience programming or coding mathematical models and building workflows
Experience with data visualization tools and best practices
Knowledge of the Software Development Life Cycle, testing, and version control
TS/SCI clearance
Master’s degree

Nice To Haves

Experience supporting DoD organizations
Experience using and deploying machine learning algorithms, including natural language processing (NLP)
Experience with web development frameworks, including Shiny, Django, or Flask
Experience with data lakes, data warehouses, or data lake houses
Experience with cloud services, including AWS or Azure
Experience working in an Agile development environment collaborating with Application Developers, Infrastructure Engineers, and stakeholders
Experience with CI/CD, including Git, Jenkins, and Docker
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience with NoSQL implementation using MongoDB or Cassandra
Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake

Responsibilities

Use analytical skills and data science knowledge to create real-world impact.
Work closely with clients to understand their questions and needs.
Dig into data-rich environments to find information.
Develop algorithms and systems.
Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions.
Provide a deep understanding of the data, what it all means, and how it can be used.
Cleanse data, develop scripts and programs for converting various types of data into usable formats.
Support project team to scale, monitor, and operate data platforms.
Work in a cross-functional team, prioritize multiple work tasks, and deliver products on time and to quality standards.