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Solutions Architect - Data Science, Machine Learning
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- Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, including Data Science and Machine Learning.
- Familiarity or experience with developing solutions for proposal within any of U.S. Government Agencies, to include but not limited to the following: Department of Transportation (e.g., FAA), NASA (including JPL), Department of Commerce (e.g., NOAA), or Department of Energy (e.g., HQ, NNSA).
- Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala.
- Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras.
- Distributed Computing: Tools like Apache Spark, Hadoop.
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