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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Knowledge on AI / Analytics tools landscape (Palantir (AIP), C3. Strong familiarity with Industry 4.0 concepts such as, IoT, Edge, Data Hub, predictive maintenance, Digital thread, control tower and others would be a great advantage.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with advanced analytic techniques, such as multivariate regression analysis, predictive modeling, logistic regression, factor analysis, forecasting, response prediction, advertising effectiveness, consumer profiling, market mix and ROI measurement.
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Examples include neural network-based demand forecasting for one of the largest food manufacturing companies in the world, predictive maintenance on equipment for a top oil & gas company, and supply chain optimization solutions for manufacturing companies.
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Manages all aspects of workforce planning, utilizes predictive analytics and insights to inform the approach. SHRM-CP/SHRM-SCP or PHR/SPHR. Leads talent programs in terms of development and constant evolution in concept: LDP’s, rotational programs, co-op, internships, development initiatives for a business unit.
$195,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Experience with emerging technologies including, but not limited to, artificial intelligence, machine learning, and predictive analytics. Develop and build a team to deliver a multi-channel expansion and redesign project – SEO, SEM, personalization, analytics, 3rd party data and platforms (Marketo, Salesforce, Hubspot, digital channels, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Serve as an influential connector to continually improve how staff act on RLDF’s data (e.g. predictive analytics, civic innovation and technology, open data, research and evaluation, education economics, public policy, etc.
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We seek instructors with professional experience in data science and analytics, who can teach in areas relevant to data science including data visualization, multivariate statistics, time series analysis, predictive modeling and machine learning.
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Leveraging Google Cloud Platform (with Looker and BigQuery), R, Python, and Alterxy, the Data Analytics Director will lead a team of technical experts that is involved in a broad range of activities including business partnering, data engineering, process redesign, data visualization, and predictive & prescriptive modeling.
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Catastrophe modeling & predictive analytics experience is a plus. In this role, you will develop pricing & rating tools for new programs & existing programs, produce portfolio management analytics, and maintain relationships with key stakeholders.
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McKinsey’s Social, Healthcare and Public Entities Practice fosters innovation driven by advanced analytics, user experience design thinking, predictive forecasting, and new product development.
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In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing, and dedicated consultative services.
$118,900 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Familiarity with machine learning algorithms for clustering, predictive analytics, and pricing analysis is a plus. Bachelor’s or Master’s degree in Economics, Statistics, Analytics, or another highly analytical field and/or a minimum of 5 years of experience in a strategy or analytics role for D2C consumer goods or retailer, with a focus on digital channels.
Full-timeExpandUpdated 11 days ago - UpvoteDownvoteShare Job
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I have strong analytical and problem-solving skills, with expertise in underlying algorithmic approaches in statistical analysis, predictive modeling, and data visualization tools. Driving Awareness: Identify skill gaps and opportunities for upskilling within the HR team in the areas of data literacy and AI.I have extensive experience in HR analytics, AI, or a related field, with a demonstrable track record of leading successful data-driven projects in an HR context.
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predictive analytics jobs in Chicago, IL
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