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Lead the design, implementation, and optimization of the Databricks platform. Design and optimization of Databricks platform. Hands-on experience with Databricks platform and Apache Spark.
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Manage refinery optimization activities, including crude feedstock selection, material balance, and backcast processes, to maximize gross margins. Candidates should be well-versed in refinery optimization activities such as crude feedstock selection, material balance, and refinery backcast processes.
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Proficient in using Amazon Seller Central and Vendor Central, with hands-on experience in campaign creation, optimization, and reporting. Strong analytical skills, with expertise in Excel and data analysis tools to interpret campaign performance and identify optimization opportunities.
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Drive the strategy and execution for Clinical Informatics information sharing initiatives including evaluating data quality tools, defining best practices for clinical content translation for automated healthcare workflow optimization.
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Collaborate with HRIS Analyst to lead the ongoing implementation, optimization, maintenance, and administration for people systems including Workday HCM and UKG Pro Management scheduling and timekeeping systems.
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Responsibilities: Lead the design, implementation, and optimization of the Databricks platform. Focus Areas: Design and optimization of the Databricks platform. Hands-on experience with the Databricks platform and Apache Spark.
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Computer systems experience in routing software, GPS systems, routing optimization and handheld computers (ASN, SBT, Scanning and other store receiving platforms) and cameras (Samsara experience preferred.
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In partnership with the COO (Chief Operating Officer) and Office Manager, oversee the maintenance and optimization of office infrastructure, including technology, facilities, and vendor management.
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Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.
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Through your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory, you will perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.
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Job Duties Complete process development activities under the guidance and leadership of senior engineers to meet project goals including process characterization and optimization, prototype. Connected Culture you can embrace: Work-life integrated culture that supports an employee centric mindset Offers onsite, hybrid and field work environments Paid volunteering and charitable donation/match programs Diversity Equity & Inclusion Initiatives including Employee Resource Groups Dedicated Training Resources and Learning & Development Programs Paid Educational Assistance *US Only.
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For example: 6-sigma, FMEA, Risk Analysis, Process Mapping, Standard Work Instructions, Lean Manufacturing, Manufacturing Work Instruction Creation, DOE methods, Process Characterization, Verification & Validation activities.
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With a focus on serving clients within the power delivery and renewable energy sector s , the Power Studies Engineer will act as a technical expert in the design, analysis, and optimization of electrical power systems.
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Analyze financial data and trends to provide insights that inform key business decisions, highlight opportunities for cost optimization, revenue growth, and risk mitigation. Technology skills including AX/D365, HFM, OneStream, PowerBI.
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optimization job Company: 83bar in Minneapolis, MN
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