Mid Data Scientist - AI, IoT & Impact Analytics

Bah

Virginia

Sur place

USD 78 000 - 176 000

Plein temps

Il y a 6 jours
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Résumé du poste

Booz Allen Hamilton seeks a Mid Data Scientist to turn large, complex data sets into actionable insights across IoT, ML, and AI initiatives. You will collaborate with clients to frame questions, clean and explore data, build predictive models, and deliver practical solutions while learning from a highly collaborative team in a mission-focused environment.

This role supports government and commercial clients, requiring clear communication of results and adherence to security standards, including

Qualifications

  • Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining.
  • Experience with statistical and general-purpose programming languages for data analysis such as Python, R, SQL, AWS, or HTML.
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods.
  • Ability to design and develop automated analytic software, techniques, and algorithms.
  • TS/SCI clearance with a polygraph.
  • Bachelor's degree and 3+ years of experience with data science, or 7+ years of experience with data science in lieu of a degree.

Responsabilités

  • Help create real-world impact by working with clients to understand their questions and needs and digging into data-rich environments to find insights.
  • Develop algorithms and systems using the right combination of tools and frameworks to turn data points into objective answers.
  • Provide a deep understanding of the data, what it means, and how it can be used to inform decisions.

Connaissances

Data exploration
Data cleaning
Data analysis
Data visualization
Data science
Data mining

Formation

Bachelor's degree

Outils

Python
R
SQL
AWS
HTML

Description du poste

Booz Allen Hamilton seeks a Mid Data Scientist to turn large, complex data sets into actionable insights across IoT, ML, and AI initiatives. You will collaborate with clients to frame questions, clean and explore data, build predictive models, and deliver practical solutions while learning from a highly collaborative team in a mission-focused environment.

This role supports government and commercial clients, requiring clear communication of results and adherence to security standards, including

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