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Business ecosystems, SaaS, infrastructure as a service (IaaS), ERP (i.e. SAP, Oracle), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT, Predictive analytics and AI/ML (Artificial Intelligence, Machine Learning), etc.
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We are currently seeking a Machine Learning Engineer to join our Alternatives Data Management team. Optimize machine learning and relevant data processing code for scale and robustness.
$125,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The company uses computer vision and machine learning technology to analyze entire buildings: from full HVAC systems to solar panels to pavement. AI/Machine Learning Engineer.
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Exposure to data science methodologies, especially GLMs, decision trees, and machine learning. 3+ years in an analytical capacity as a data analyst, actuarial analyst, or underwriting analyst.
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Proficient with Python and its data science / machine learning libraries, Pandas, Spark etc. Leveraging information contained in unstructured text data using NLP techniques to boost the performance of existing models.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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Executes data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights. Experience working with large, complex data sets, normalizing and building training sets and models, and using advanced machine learning techniques to combine and compare large datasets.
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Amazon Web Services (AWS) is looking for a world class partner leader to drive enterprise digital transformation initiatives with strategic technology partners in the Artificial Intelligence/Machine Learning Sector.
$118,400 - $220,200 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expertise in at least one of the following areas: econometrics, machine learning, optimization, simulation, text analytics. Expertise in more than one of the following areas: econometrics, machine learning, optimization, simulation, text analytics.
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Coach the team to leverage data sources at scale (dozens of different data sources, billions of rows), machine learning, observational causal inference, time series forecasting and bias corrections, to design, prototype, implement, evaluate and monitor the next generation of our Movements engine and normalization methodology.
$152,000 - $251,750 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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We are working with a client in the education space that is looking for a Director level Data Scientist to oversee their Machine Learning initiatives. 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.
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Dermal Intelligence: Machine learning meets next-generation sequencing to predict treatment outcomes, improve patient care, and reduce costs. Mindera Health is commercializing scalable non-invasive biomarker extraction technology and data analytics to profile over 7,000 biomarkers per sample collected through a patented non-invasive dermal biomarker patch.
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Architect, design, develop & implement Data Migration, DataIntegration, Data Governance, Data Quality, Data Visualization, MasterData Management, Reference Data Solutions, Data strategy Assessment,Feasibility Studies, Machine Learning.
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Experience in data analysis, data manipulation, data mining, algorithm development, or machine learning/artificial intelligence. Strong and demonstrable delivery on high value and large-scale data science projects from a statistical and machine learning standpoint to advance our existing repository of tools and practices.
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This can be done using traditional machine learning or techniques specific to massive unstructured data such as deep learning. Machine learning on structured datasets – starting with data exploration and feasibility tests, design and perform experiments to compare modeling approaches, generate predictions and ensure the solution meets the target metrics specified by business requirements, as well as ensuring scalability of algorithms.
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data machine learning jobs in Wood Dale, IL
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