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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.
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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.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions.
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Proficiency in programming languages relevant to data science and machine learning (e.g., Python, R). We seek an experienced Data Scientist/Machine Learning Engineer for a dynamic two-month contract role.
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Solid programming skills with knowledge of R, SQL, Python, PySpark or other data-extraction and analysis tools and programming languages such as Java, JavaScript or C. Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines.
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Proficiency with SQL or other programming languages (Python, R, MATLAB). Employ Machine Learning algorithms and/ Task Mining to design innovative analyses and execution apps to make the business processes transparent.
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Experience with deployment of machine learning and statistical models on a cloud and leveraging ser-vices like Amazon SageMaker and Amazon Forecast. Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms.
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Proven experience in data engineering, data analysis/ processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial Services or Wealth Management environment.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Proficiency with programming languages including Python, R, SAS, and/or Java. Experience working with at least one data analysis tool like Hadoop, Apache Spark, or cloud-provider equivalents.
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Assists in the definition of machine learning and data mining strategies. Python, R and more as necessary to meet customer goals. Qualifications : Bachelor's Degree in Physical Sciences (e.g., mathematics, physics, meteorology, chemistry, etc.
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Experience leveraging cloud services or Cloud Certifications (e.g. AWS Solutions Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate etc.
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The top skills required for this position are - 1 ) Python backend programming, 2 ) advanced Linux O/S commands, 3 ) data analysis, data cleansing & reporting (DA/DC/R), plotting statistical results and matching them against historical results data with Machine Learning, and 4 ) monitoring the health & performance of hardware system (i.e., CPU, x86 arch., memory, storage, networking.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Data Analytics/Insights.
$121,000 - $199,600Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong proficiency in programming languages like Python, R, or SQL. Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Develop and implement machine learning models for tasks such as prediction, classification, and clustering.
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machine learning python r jobs Title: data engineer
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