Data scientist

4+ years of shown hands-on experience with design, implementation, and application of ML/AI/Deep Learning and OR solutions and techniques to build models that solve real problems.
2+ years of hands-on experience in optimization modeling, simulation, and analysis with Python or Matlab.
Experience analyzing machine data (sensors, downtime log, machine states, etc) for IoT & predictive maintenance applications.
Experience applying deep learning frameworks, such as PyTorch/ Torch, TensorFlow, Keras to real-world applications that solve problems.
Knowledge of validated approaches for scale-ability, productionalizing models, and implementing machine learning applied to expansive and diverse datasets (storage GPUs, techniques for deep learning at scale).
Strong software development skills with proficiency in Python.
Experienced user of machine learning and statistical-analysis libraries, such as GraphLab Create, scikit-learn, scipy, and NLTK.
High level of autonomy and influence to remove roadblocks and deliver results (evaluate and solve complex problems involving various teams ranging from data instrumentation to analytics tool development). A proven track record for self-study and self-exploration into new tools and techniques.
Ability to explain and present analyses of machine learning concepts to a broad technical audience.