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Preferred Area of Experience: Microsoft , Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Business Intelligence/data visualization platforms such as Tableau, Power BI, etc. Data science programming/coding in Python and/or R including use of spatial libraries/packages (eg GeoPandas, Rasterio, GDAL/OGR, Terra.
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The Data Engineer at APC Power Delivery's AMI Analytics team plays a pivotal role in advancing data-driven decision-making and operational efficiency across business units. Power BI Visualization and Reporting: Develop and maintain Power BI dashboards and reports to visualize AMI data insights and facilitate data-driven decision-making.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Dr. Chen's research interests span a diverse range of fields, including control theory, network science, tensor algebra, numerical analysis, data science, machine learning, deep learning, hypergraph learning, data analysis, and computational biology.
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Perform engineering design and analyses, such as Size, Weight and Power, Location (SWAP-L) analysis, CAD and 3D modeling, electrical power/signal distribution assemblies, printed circuit boards, data busses, power and signal entrance panels, power distribution panels, signal interface panels.
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Bachelor's of Science in Electrical Engineering or similar STEM degree (Preferably Electrical Engineering) and 2+ years of experience in Power Electronics Engineering, or Master's degree with 0 years of experience.
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Ph. D. in Computational Chemistry, Computational Physics, Materials Science, Data Science, Statistics, Math, or a related field. Proficiency with Python and common data science libraries such as Pandas, NumPy, and SciPy.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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Preferred Qualifications If we had our say, wed also look for: 6 years of experience in a People Analytics/Data Science role Masters degree in industrial/organizational psychology , Data Analytics, or Statistics 3 years of experience as People Analytics Insights partner, consulting background is a plus.
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Your responsibilities will include ownership, design, and integration of various spacecraft subsystems including avionics, flight processors, data storage, intra-spacecraft digital communications and analog telemetry, power generation & storage, power distribution, grounding, EMI mitigation, and wiring & harness design for power and data interfaces between all spacecraft subsystems.
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Familiarity with ADS SI/PI or similar Signal Integrity / Power Integrity analysis tools. Experience in power and/or digital PCBA design, development, delivery, and operation. Experience with satellite electrical system concepts such as power and energy budgets, telemetry, flight software controls, and electronics thermal management.
$105,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Requires advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.
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A minimum of 6+ years of data science/ops research experience preferably within the supply chain industry, demand planning, CPG industry and/or retail replenishment. The Supply Chain Data Science Manager a is key contributing member of the team responsible for decision support technologies associated with Comcast demand and supply planning.
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data science power jobs Company: Hp
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