Job Description

Empower change with us.

You Have:

1+ year of experience within data science or machine learning engineering, including in an academic or professional environment
Experience with developing software in a high-level language, including Java, C, C++, Python, or R
Experience with ML, AI, and data quality analytics
Experience with deploying applications in a Cloud environment
Knowledge of developing solutions and integrating, extending, and contributing to open-source software, version control systems, including GitHub or Git, or software integration or testing, including analyzing and implementing test plans and scripts
Active TS/SCI clearance; willingness to take a polygraph exam
BA or BS degree required

Nice If You Have:

Experience with NLP or Spacy a plus
Experience with the Hadoop Distributed File System (HDFS) and JSON or BSON, Apache Spark or Apache Storm, data visualization tools or packages, and data mining or deep learning techniques
Experience with designing and developing automated analytic software, techniques, and algorithms, large-scale data integration for Nifi and Kafka, and implementing relational and NoSQL large-scale data architectures
Experience with Agile SAFe, MapReduce programming, distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, or Bigtable
Knowledge of Spark, Delta Datalake, Zeppelin, AWS C2S, or Quality Metrics
MS degree in Data Science, CS, Physics, Statistics, Mathematics, Earth Science, Geographic Information Science, or Quantitative Social Sciences preferred; PhD degree a plus
AWS Solutions Architect or AWS Certified Solutions Developer Certification

Clearance:  

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Build Your Career:

 At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:

Access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
Change the world with the Data Science Bowl—the world’s premier data science for social good competition
Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government