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In addition, you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and ap-ply data mining and machine learning algorithms for advanced analysis and prediction.
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Your Team & Role: As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
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The ideal candidate will have a solid foundation in data engineering principles and practices, along with a passion for data analysis, machine learning, and problem-solving.
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Desired 5+ years of proficiency in programming languages such as Python, SQL, and/or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, requests, etc.
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Develop and implement machine learning models and algorithms to solve business problems and extract actionable insights from data. Knowledge of machine learning techniques and algorithms, with practical experience in model development, evaluation, and deployment.
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Proficiency in programming languages such as Python, R, MATLAB, or JMP to analyze large data sets. Experience with machine learning, predictive analytics, and statistical modeling with big data platforms is a plus.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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Proficient with Machine Learning and modeling techniques using Python, R, and/or Scala. The Principal BI Engineer will use our business intelligence platform and industry best practices to partner with the First Command business owners to rationalize data needs that are critical to our path to business agility.
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Experience working with a statistical programming language (R, Python or similar) Build, prototype, and deploy machine learning models in sandbox and production environments.
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Machine Learning Engineer. Basic understanding of probability, statistics, and machine learning for data analysis and visualization. oCollaborate with customers, machine learning, and data science teams to understand requirements.
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