Senior AI/ML Scientist - Clearance, Hybrid (DC/Wash)

Kaizen Lab Inc.

Arlington (VA)

Híbrido

USD 100.000 - 130.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

Kaizen Lab Inc. is seeking a data scientist with 7+ years of experience to provide technical leadership on analytics and AI/ML solutions. The role involves developing and deploying machine learning models, collaborating with Data Engineers, and communicating findings through dashboards and reports.

The ideal candidate will hold a Bachelor’s or Master’s degree in a related field and possess strong skills in Python, Jupyter, and various AI/ML frameworks. The position offers a hybrid working model, primarily onsite in Arlington/Washington DC.

Formación

  • Active Secret clearance is required.
  • 7+ years of professional experience in data science and AI/ML.
  • Excellent communication and stakeholder engagement skills.

Responsabilidades

  • Provide technical leadership on analytics and AI/ML solutions.
  • Develop and deploy machine learning models and predictive analytics.
  • Collaborate with Data Engineers to integrate models with data pipelines.
  • Communicate findings through dashboards, visualizations, and technical reports.

Conocimientos

Python
Anaconda
Jupyter
AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
RPA tools (UiPath, Automation Anywhere)
SQL

Educación

Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or related field

Herramientas

Databricks
Apache Spark

Descripción del empleo

Kaizen Lab Inc. is seeking a data scientist with 7+ years of experience to provide technical leadership on analytics and AI/ML solutions. The role involves developing and deploying machine learning models, collaborating with Data Engineers, and communicating findings through dashboards and reports.

The ideal candidate will hold a Bachelor’s or Master’s degree in a related field and possess strong skills in Python, Jupyter, and various AI/ML frameworks. The position offers a hybrid working model, primarily onsite in Arlington/Washington DC.

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