Senior Data Scientist - AI, NLP, & IoT (Remote)

Booz Allen Hamilton; Virginia (MN); Hybrid; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Senior Data Scientist to unlock insights from large IoT, structured and unstructured data, and advance ML/AI across sectors including national intelligence.

You will translate client questions into data-driven solutions, develop algorithms and systems, and collaborate with cross-functional teams to deliver measurable impact and informed decision-making.

Join us to apply analytics for good and help solve global challenges.

Qualifications

• 5+ years of experience with an analytical or statistical language such as Closure, Scala, Python, or R
• 4+ years of experience with supervised and unsupervised custom AI training and Natural Language Processing (NLP), including using unstructured data
• 2+ years of experience manipulating unstructured data from different platforms
• 2+ years of experience with data visualization tools such as Power BI, Tableau, Qlik, or Elastic X-Pack, including Graph
• Secret clearance
• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Statistics

Responsibilities

• Develop algorithms and systems to turn data points into objective answers
• Work with clients to understand questions and needs and dig into their data-rich environments
• Provide deep understanding of the data and how it can be used to inform decisions

Skills

Python

R

Scala

Closure

Education

Bachelors degree in Computer Science, Data Science, Mathematics, or Statistics

Tools

Power BI

Tableau

Qlik

Elastic X-Pack

AWS S3

Lambda

Job description

Booz Allen Hamilton is seeking a Senior Data Scientist to unlock insights from large IoT, structured and unstructured data, and advance ML/AI across sectors including national intelligence.

You will translate client questions into data-driven solutions, develop algorithms and systems, and collaborate with cross-functional teams to deliver measurable impact and informed decision-making.

Join us to apply analytics for good and help solve global challenges.