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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Master's in GIS, remote sensing, physics, applied mathematics, computer science or related field. Bachelor's in GIS, remote sensing, physics, applied mathematics, computer science or related field.
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Experience working with machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus. 2+ years of professional experience as a MLOps Engineer, Data Engineer, or equivalent role, focusing on machine learning and/or ML infrastructure.
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For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground. 2 years of AIOps experience - Automating (MLP, Deep Learning, or LLM Models) via cloud data engineering pipelines within Azure Synapse and Databricks.
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Four (4) years of relevant experience in Atmospheric Science, Environmental Science, Environmental Engineering, Chemistry, Physics, Mathematics, or Data Analytics. A combination of related education and/or relevant experience in Atmospheric Science, Environmental Science, Environmental Engineering, Chemistry, Physics, Mathematics, or Data Analytics equal to four (4) years.
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Requirements: Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Finance or MBA (willing to accept foreign education equivalent) plus five years of relevant experience in the job offered or related occupation performing quantitative macro equity research with ability to decipher equity factors (using data analysis and statistical models) and understanding their impact on economy and markets.
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You might possess an advanced degree (PhD) in machine learning, computer science, physics, applied mathematics, or statistics. Participate in pre-sales activities to demonstrate how data science and statistics may be applied As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return.
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Gusto is looking for a contract Applied AI Scientist to support applications around data import using Generative AI. Required Skills : LLMs, NLP, AI/ML, Python, Data ScienceThis is an opportunity to build a LLM/NLP product from scratch.
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PhD in Computer Science, Computer Engineering, Computational Science, Applied Mathematics, Electrical Engineering, Mechanical Engineering or related disciplines. Knowledge of Artificial Intelligence, machine learning, deep learning, active learning, transfer learning, etc.
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Qualifications You Must Have Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior Aerodynamics experience with flight vehicles.
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Specifically, this experience must be in writing Big Data data engineering jobs for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
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Bachelor of Science degree in Engineering, Quantity Surveying or certification as Project Controls Manager or equivalent required, MBA is helpful. Position Overview Vantage is looking for a Senior Project Controls Manager to support project controls functions globally as part of our end to-end data center development cycle.
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NREL's Hybrid Energy Systems team has an immediate opening for a full-time postdoctoral researcher for conducting research in controls, emulation, and the scaling-up of new and novel clean energy technologies with a particular emphasis on developing novel algorithms for applied energy challenges that are effective at large deployment scales.
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Knowledge Sharing - Experience developing presentations and delivering them to large audiences on topics related to Artificial Intelligence, Machine Learning, Data Architecture and/or Big Data.
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A Bachelor’s degree from an accredited institution in computer science, data analytics, criminal justice, forensic science, sociology, psychology, accounting, health care related fields, or a field of study related to the assignment AND two (2) years of professional experience performing data analysis using multiple sources of data.
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