B
Advanced Data Scientist and Machine Learning Engineer
Booz Allen
Engineering & Technology
IT & Telecoms
GHS
Confidential
1 month 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: 4 years
Job Description/Requirements
Nice To Have:
- 4+ years of experience working within data science, machine learning engineering, or data research in a professional or academic environment
- 2+ years of experience with programming, including machine learning frameworks such as TensorFlow, Keras, PyTorch, Caffe, Python, or MXNETÂ
- Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches for each
- Experience with programming in Python and R
- Experience with MLOps, GitOps, and programming in Python
- Experience deploying machine learning models into a production environment
- Experience developing software architectures with containerization tools, including Docker and KubernetesÂ
- Knowledge of Databricks, PyTorch, Tensorflow, Langchain, or KubernetesÂ
- Secret clearanceÂ
- Bachelor’s degree in CS or Software Engineering
Nice If You Have:Â
- Experience with client engagements, client-facing project work, and business development
- Knowledge of cloud infrastructure such as 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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