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Advanced Data Scientist and Researcher

Booz Allen

Software & Data

IT & Telecoms GHS Confidential
2 months ago

Job Summary

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 2 years

Job Description/Requirements

Nice To Have:

  • 2+ years of experience building robust, production-grade applications in a data science, machine learning engineering, software engineering, or data research field
  • 2+ years of experience with programming in Python
  • Experience applying a strong mathematical foundation to model development and model performance monitoring
  • Experience with anomaly detection or drift detection, and using machine learning frameworks, including SciKitLearn, TensorFlow, Keras, PyTorch, Caffe, Python, or MXNET, to develop applications
  • Experience in the full life cycle of machine learning development and deployment, including gathering requirements, identifying data, preparing data, and building, validating, and using deployable predictive models with the usage having tangible results
  • Ability to perform technical research, evaluate current state of the art methodologies based on academic literature, and present to technical audiences
  • Ability to obtain a security clearance
  • Bachelor’s degree

Nice If You Have:   

  • Experience developing software architectures with containerization tools, including Docker and Kubernetes 
  • Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches
  • Experience with client engagements, client-facing project work, and business development
  • Knowledge of AWS, Azure, and GCP 
  • Ability to work in a Linux environment with bash scripting
  • Master’s degree in CS or Data Science

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