Data Scientist, Mid

Booz Allen Hamilton•Norfolk, VA

About The Position

Data Scientist, Mid The Opportunity: The proliferation of technology like IoT, machine learning, and artificial intelligence means that critical data is often locked away in complex, siloed systems. As a Data Scientist, you know that the real challenge isn't just organizing data, but transforming it into a dynamic, interactive foundation for decision-making. We need a versatile problem-solver like you to help build end-to-end solutions with platforms such as Palantir Foundry, Databricks, and AWS, enabling our clients to tackle missions from fraud detection to cancer research. As a Data Scientist, you will be a key contributor to the technical solution. This role offers a unique opportunity to grow your skills across data engineering, data science, and front-end development. Working under the guidance of senior engineers, you’ll help develop and deploy the data pipelines that organize and make disparate data meaningful. You will collaborate with your team and end-users to understand their requirements, then use that insight to help implement the data ontology, support analyses, and configure user-facing applications and workflows. Your goal is to be a vital part of the team closing the gap between raw data and operational impact. You will be embedded with clients, working in a fast-paced, agile environment where you take on increasing responsibility for key components of the solution. You'll learn to move fluidly between writing data transformations, exploring data for key insights, and configuring front-end modules to deliver a seamless user experience. You'll quickly develop a strong understanding of the client's mission as you help your team turn their most complex data challenges into intuitive, powerful software solutions. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

2+ years of experience utilizing programming languages, including C++, Java, JavaScript, TypeScript, or Python
2+ years of experience developing and maintaining scalable data stores that supply data in forms needed for business analysis
Experience creating solutions within a collaborative, cross-functional team
Experience developing scripts and programs for converting various types of data into usable formats, and supporting the project team to scale, monitor, and operate data platforms
Secret clearance
Bachelor's degree and 1+ years of experience with data engineering, including application or software development in a professional environment, or 3+ years of experience with data engineering, including application or software development in a professional environment, in lieu of a degree

Nice To Haves

Experience in application development utilizing SQL
Experience with Palantir Foundry
Experience working with Maven Smart Systems
Experience working with Node.js and languages that transpile to JavaScript
Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience working on real-time data and streaming applications
Experience with data warehousing, including AWS Redshift, BigQuery, or Snowflake
Experience with advanced automation of software delivery, including Infrastructure as Code such as Terraform or AWS CloudFormation, containerization such as Docker, and orchestration such as Kubernetes or EKS, aligned to DevSecOps practices