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Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, AWS Sagemaker, or SAS. Business intelligence and data mining tools such as Business Objects, Micro Strategy, Tableau and Tableau Server, Alteryx, or SAS Enterprise Guide/Miner.
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Minimum of 7 year’s of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Position for Sr. Data Scientist Technical Side Needed with HealthCare Or Financial Domain Needed Loc
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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Qualifications: Experience: Master’s degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models is required Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data) Experience in model metrics monitoring, orchestrating ML workflows using pipelines, version control, model drift management.
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Security of data lakes, and data warehouses leveraging unstructured databases and big data platforms. Data Loss Prevention (DLP) and Cloud Access Security Broker (CASB) (e.g., Microsoft, Netskope, Proofpoint, Zscaler.
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Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.
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We are seeking an experienced Platform Engineer who will be part of the Platform team managing the Data Science platform. Extensive experience with Data Lake, Data Science, and AI/ML services hosted on AWS infrastructure.
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Stay informed about industry trends, emerging platforms, and best practices in social media, influencer marketing, customer data management, and customer marketing. Develop and execute comprehensive social media strategies that encompass paid advertising, organic content, influencer partnerships, and customer engagement through our customer data platform.
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PowerSchool: Grades, Gradebooks, Schedules, Attendance, Health Information, Data Import Export, Automated Data Synchronization, Reporting, Adaptive Scheduler, Enrollment, Security, Parent Accounts, API Integration, Bi-Weekly Interim Grade reports, Bi-Weekly Eligibility Reports, Years & Term, Calendaring, Transcripts & Quarterly Grade Reports LMS.
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Job Summary: As a Junior Credit Risk Analyst, you will support the credit risk management team by analyzing credit data, assessing financial statements, and monitoring credit risk metrics. Experience with data visualization tools or financial analysis software.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc. As a Lead Software Engineer at JPMorgan Chase within the agile team, you play a crucial role in improving, developing, and delivering reliable, top-tier technology products in a secure, stable, and scalable manner.
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Completes work assignments and priorities by using policies, data, and resources; collaborating with managers, co-workers, customers, and other business partners; identifying priorities, deadlines, and expectations; carrying out tasks; communicating progress and information; determining and recommending ways to address improvement opportunities; and adapting to and learning from change, difficulties, and feedback.
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The Learning Spectrum (a New Story School) is an educational organization comprised of special education schools in Pennsylvania, Virginia, Ohio, New Jersey, and Massachusetts. We offer an academic learning environment integrated with behavior support services for students diagnosed with autism or emotional/behavioral disorders.
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machine learning artificial big data jobs Title: data engineer in Groveport, OH
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