Data Scientist, Senior

Booz Allen Hamilton•McLean, VA

3d•$99,000 - $225,000

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 with applied data science or ML roles, including using Python, NLP, and LLM implementation
5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
Experience with production-level systems, data lake environments, and streaming data, including Kafka
Experience implementing end-to-end ML workflows from data prep to deployment and evaluation
Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes
TS/SCI clearance
Bachelor's degree

Nice To Haves

Experience collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines
Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera
Experience deploying Docker and Kubernetes solutions for containerized capability development
Experience with Databricks implementation and development
Experience in the development of algorithms leveraging Python, SQL, or NoSQL
Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL
Security+ Certification

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 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.
Design, implement, and iterate on ML models for document classification, extraction, summarization, and search.
Take ownership of data science workflows that interact with a production system streaming millions of documents per week.