Booz Allen Hamilton
Booz Allen Hamilton
Booz Allen Hamilton ir vadības un tehnoloģiju konsultāciju uzņēmums, kas sniedz valdības un komerciālajiem klientiem progresīvas tehniskās un stratēģiskās zināšanas. Uzņēmuma darbība aptver nacionālo drošību, aizsardzību, izlūkošanu, civilo pārvaldi un kritisko infrastruktūru. Tas apvieno komandas, kas specializējas mākslīgajā intelektā, kiberdrošībā, mākoņdatošanā, digitālajā pārveidē, inženierijā, kā arī misiju un operāciju atbalstā. Uzņēmums īpaši pievēršas sarežģītiem un augstu drošības līmeni prasošiem izaicinājumiem militārajām, izlūkošanas un federālajām iestādēm, kā arī atsevišķiem komerciālajiem sektoriem.

Mid-Level Data Scientist

Develop machine-learning and AI solutions for complex datasets at Booz Allen Hamilton. Guide algorithms, visualizations, and client-focused analytics.

Apraksts

  • Extract insights from complex structured and unstructured data to address global challenges
  • Work with clients to understand their questions and needs
  • Analyze data-rich environments to identify useful information
  • Guide teammates and lead the development of algorithms and systems
  • Choose tools and frameworks to turn disparate data into objective answers
  • Apply deep data expertise to advise clients in making informed decisions
  • Build practical data science solutions using IoT, machine learning, and artificial intelligence

Prasības

  • At least 2 years of experience with data science programming languages such as Python or R
  • Experience using version control tools such as Git, GitLab, GitHub, or Bitbucket
  • Knowledge of statistical analysis, predictive modeling, and machine-learning methods
  • Ability to design and build automated analytical software, techniques, and algorithms
  • Ability to develop solutions and integrate or extend free and open-source software (FOSS) or commercial off-the-shelf (COTS) products
  • Ability to create data visualizations with tools such as Tableau, Power BI, or ArcGIS
  • TS/SCI clearance
  • Bachelor’s degree
  • Experience with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, including their associated data and tools
  • Experience in intelligence or operations analysis within the Department of Defense or Intelligence Community
  • Experience building ETL pipelines, including querying APIs, cleaning and conditioning data, and creating data storage schemas
  • Knowledge of DevOps practices, including CI/CD pipelines and Jenkins
  • TS/SCI clearance with a polygraph

Priekšrocības

  • Health benefits
  • Life insurance benefits
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program
  • Identity verification and fraud prevention process
  • Camera required during interviews and assessments
  • AI tools allowed in interviews only with explicit permission

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