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Our vision is to advance spatial data acquisition, improve analysis capabilities, and develop predictive analytics to redefine and transform how infrastructure assets are developed and managed throughout their lifecycles.
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Experience w/ predictive maintenance technologies including, but not limited to, vibration analysis, oil analysis, infrared Thermography, ultrasound, and motor current analysis. Minimum 1-2 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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Ensure relevant knowledge and skills are up-to-date, e.g. methods and tools within data mining, statistical methods, machine learning, big data analysis, predictive analytics, programming, and relevant hardware/software engineering.
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Professional certification in HR or Analytics (e.g., PHR, SPHR, SHRM-CP, SHRM-SCP, CAP, etc. This role involves rigorous analysis of HR data, predictive modelling, data visualization and storytelling.
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Experience with AI/Machine Learning tools and predictive modeling. Seven+ years of experience in HR data analytics or a related role. Sr. HR Data Analytics Specialist. Design, create and evaluate predictive models to forecast HR trends in creative and effective ways; deliver actionable insights.
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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.
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Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, and computer vision. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
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Five years of progressively increased responsibility in ESP, CRM, CDP, database, and loyalty/lifecycle marketing using lifecycle methodology, analytics and data-driven insights with customer profiles/segmentation, customer database mining, predictive modeling, and sales analysis.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Develop and implement machine learning models for predictive analytics, classification, clustering, and optimization. 10 years of experience in building data science, machine learning solutions using Python, Scala, Spark DataBricks, SQL or similar.
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Projects will include fraud detection, prevention and mitigation in novel arenas, such as our first-to-market Income Protection program; risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more.
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Our backend tech stack is based on GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness.
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This role will develop and maintain positive relationships with business and technical teams to collaborate on analytics solutions and be a trusted specialist resource on data analytics project planning and data insights, identifying functional and non-functional requirements, and assist in technology and implementation planning for innovative data visualization, predictive modeling, and advanced analytics solutions.
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Contribute to hands-on design and build to prepare data for both prescriptive and predictive analytics in the enterprise data warehouse. Good to have a candidate who understands machine learning and predictive analytics.
$123,900 - $227,200 a yearFull-timeExpandApply NowActive JobUpdated Today
predictive analytics jobs in Seattle, WA
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