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3-5 years of experience in coding and data mining/analysis tools with prioritization for candidates with experience in SQL, Python, R. + Explore and apply new data mining and data visualization tools to conduct ad-hoc analysis as required.
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They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems.
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Develop and deploy data mining and advanced analytics to monitor, benchmark, and optimize business needs, identifying areas for improvement and deeper, root-cause analysis. 3+ years of experience developing and applying operational research models, data mining applications, and advanced analytics.
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As a Principal Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services.
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Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.
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As a Senior Data Scientist specializing in time series forecasting, you will play a pivotal role in developing predictive models and algorithms to extract valuable insights from time-dependent data.
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As a Finance & Business Management Data Scientist, Senior Associate on the Global Services team, you will be integral to Finance & Business Management—we're seeking an analytics maverick.
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Join our dynamic team as a Data Scientist, where you'll play a pivotal role in transforming rental data into strategic business insights. Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
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Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
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Prior experience using statistical software or knowledge of various data mining and analytical tools (SAS, etc.) Familiarity with relational database concepts, querying, data warehouses, requirements gathering and/or decision support tools preferred.
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This person will partner with Chief Data Scientist, executive team, and product subject-matter-experts (SMEs) in developing business and analytic requirements that reflect methodologically sound and appropriate research designs for hypothesis testing, sampling, handling of data anomalies (e.g., outliers, missing data), mining and model building that embody current best practices and will often be suitable for publication to enhance Veradigm Payers reputation and brand.
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7+ years experience as ML engineer or lead data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Bachelor’s degree in Analytics, Data Science, Statistics, Computer Science or any Engineering field plus five years of progressive experience as a Data Scientist or in analytics also acceptable.
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data scientist mining jobs in Chicago, IL
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