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You'll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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TPS provides equipment to a broad range of customers in different industries, such as, defense, aerospace, electronics, biotech, medical, pharmaceutical, lab animal science, energy, transportation, communications, commercial heat treating, die casting, agriculture, and materials processing.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. In depth knowledge of, ICS environments including Programmable Logic Controls (PLCs), Human Machine Interfaces (HMIs), and other field devices such as smart sensors.
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10+ years of hands-on working experience in Data Science capacity, three years working with people data – CRM, identity graphs, ad-tech/mar-tech log-level data, respondent-level panels, etc.
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Data-driven, evidence-based learning and instructional models, including SESI’s own positive behavioral interventions and support (PBIS) framework called CASE.Competitive salary of $60,000-65,000 based on experience and credentialsAn attractive and robust suite of benefits, including comprehensive healthcare benefits, 401(k) with employer match, employee assistance program, mental health support, fertility and family building, and more.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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Skills in data visualization (Oracle Analytics Cloud, Tableau, Power BI, or similar) A BS or MS degree in a quantitative field (Engineering, Data Science, Operations Research, Applied Math, Statistics, Analytics) or equivalent experience relevant to the functional area is desired.
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C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge; Utilizing intelligent robotic process automation tools (Automation Anywhere, Pega, UiPath, etc.
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Learning & Development: Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM. Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements.
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Monitors mission health of systems deployed and provides daily reporting to the FOC Lead. Responsible for gathering Level 1 PBLM using mission data, electronic health and status reporting, and details from fielded calls from Operational sites to complete CDRL A009 in their hub and spokes of assigned responsibility and supporting FOC leads consolidation of daily reports.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience in learning new approaches, coding languages, and Meta specific solutions.
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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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data science machine learning bi jobs in Columbia, MO, Germany
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