Senior Data Scientist

Booz Allen Hamilton•McLean, VA

7d•$99,000 - $225,000

About The Position

Senior Data Scientist The Opportunity: 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 this team, you will also design and implement effective AI solution architecture and strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations. Applies leading-edge principles, theories, and concepts. Contributes to the development of new principles and concepts. Works on unusually complex problems and provides highly innovative solutions. Operates with substantial latitude for unreviewed action or decision as well as mentors or supervises employees in both firm and technical competencies. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

8+ years of experience engineering code in an object-oriented language, such as Python, C, C++, Go, Rust, Java, R, or Haskell
2+ years of experience working with algorithms, machine learning models, and/or MLOps to produce analytical or visual products
2+ years of experience working with Palantir Foundry
2+ years of experience building and maintaining scalable ETL pipelines to ingest, transform, and load data from multiple sources into a centralized data warehouse for analytics and reporting.
2+ years of experience performing data visualization
1+ years of experience with implementing advanced data science, natural language processing, or machine learning models
Ability to work with Dataframes utilizing Pandas, Polars, or PySpark as well as understanding data formats, such as JSON, Parquet, Avro, or CSV
Ability to understand SQL for querying databases
Secret clearance
Bachelor's degree in Computer Science or Computer Engineering

Nice To Haves

Experience working with disparate data sources
Experience working in a team environment for git, GitLab, or GitHub
Experience with scaling data engineering across distributed computing clusters such as Apache Nifi, Spark, Dask, Airflow, or Luigi
Experience with SQL and NoSQL database technologies, such as Elasticsearch, Solr, Accumulo, Weaviate, ChromaDB, Typesense, Pinecone, Neo4j, AWS DynamoDB, PostgreSQL, Athena, Aurora, Redshift, MSSQL, MySQL, Oracle, or MongoDB
Ability to communicate and report findings and research clearly and concisely for clients
Possession of excellent teamwork skills
Master’s degree in Data Science, Computer Science, or ML Engineering
AWS, Google, Data Analytics, Machine Learning Engineer, or Solutions Architect Certifications
ML engineering, cloud architecture, software engineering, web development, or data science Certifications
Palantir Data Engineering Certification