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The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Experience with data analytics/visualization tools and communicating analysis (SQL, Google BigQuery, Tableau, programming language (R, Python, or SAS. The individual must possess strong communication and data mining skills, and be familiar with the programming tools, statistical software and technology used by the CPE team (e.g., SQL, Tableau, R, Python.
$85,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
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Two or more of the following other languages: Python, SQL, Java, C#, R, JavaScript, Go, Spark. The Machine Learning practice designs and delivers innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, R, or Java. Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud.
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Analyzing large data dets using programming languages such as Python, R, SQL and/or Spark. Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility. The Foundational AI team is looking for a Data Scientist who is passionate about data analysis, Machine Learning, and Artificial Intelligence.
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Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark. 3+ years of work/educational experience in Artificial Intelligence/Machine Learning.
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Experience in providing business solutions which require analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems.
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6+ years of experience in Programming R, Python ML space. Job Description: Metas Solutions has an opening for an experienced Senior Data Scientist/Machine Learning Engineer to work Remotely.
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Programming in Python, R, and SQL. Proficiency in machine learning techniques such as dimensionality reduction, resampling, ensemble learning, anomaly detection, feature scaling and feature selection.
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10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
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Proficiency in programming languages such as Python, R, or SQL, with experience in libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, etc. You understand the data science lifecycle and are experienced in development and implementation of advanced statistical models and machine learning algorithms.
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Strong proficiency in data analysis, machine learning, and statistical modeling techniques, with experience using tools such as Python, R, SQL, and/or TensorFlow. Strategy Development : Develop and execute a comprehensive data science strategy aligned with business goals and objectives, leveraging advanced analytics, machine learning, and AI technologies.
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Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). The ideal candidate will have a strong background in artificial intelligence, machine learning, and data analytics.
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