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-related fields. Proven expertise in developing data architectures, models, and pipelines. Proficiency in Databricks and at least two (2) of the following tools: Python, SQL, Apache Spark, SAS, R, or similar
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leadership. Develops predictive and statistical data models using tools like Python or R, leveraging the data lakehouse platform for scalable data processing. Analyzes, validates, and cleans large datasets
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systems. Collect, process, and analyze experimental data using tools such as MATLAB, Python, or R to evaluate system performance and inform iterative design improvements. Support building and refining
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch
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-rock interactions, hydrogen and methane production, and mineral phase transformations, is an asset. The candidate should be adept at scientific programming languages such as Python or R (preferentially