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As a pivotal member of our team, you will be instrumental in shaping and executing comprehensive growth strategies across various digital channels, with a focus on paid social advertising & creative strategy, conversion rate optimization, and offer testing as primary drivers.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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Experience driving security, compliance, and disaster recovery in all aspects of a data platform Deep Experience with the following: Public cloud-native offerings (AWS, GCP, Azure) Kubernetes & Container-based hosting strategies SQL and NoSQL databases (Postgres, Cassandra, MongoDB, Neo4j, DynamoDB, etc.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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The Laboratory Optimization Specialist will report to the VP of Commercial Sales and be responsible for identifying process improvements associated with Fisher Healthcare's lab automation solutions; which include an agnostic solution based recommendation for total lab automation, clinical chemistry diagnostic solutions and microbiology and molecular solutions.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Experience in strategic governance, data design and acquisition strategies for the development and implementation of data analytics, master data management, data warehouse, and data mart solution preferred.
$106,711.92 - $180,474.96 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience retrieving, cleaning, and analyzing large environmental datasets and geospatial data layers, such as land use, hydrography, climate, and water sampling data. + Experience with data analysis tools and platforms, such as R or Python programming languages for data cleaning and analysis and ArcGIS software for analyzing and mapping geospatial data.
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Ability to implement, interpret, and validate quantitative models (statistics, machine learning, optimization, and/or simulation) Perform data modeling and quantitative analysis to support one or more research projects focused on player and team performance.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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As a Plastics Injection Molding Process Technician, you will be responsible for the setup, operation, and optimization of injection molding machines to produce high-quality plastic parts and components.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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Three or more (3+) years of experience in geomatics, 3D imaging, laser scanning, and data collection and modeling. Travel to project sites across the United States to capture the required field data using the latest 3D reality capture hardware, including both Mobile and Terrestrial LiDAR as well as drone-based solutions, all in the pursuit of providing the most sophisticated and comprehensive reality capture services to our clients.
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Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc). Familiarity with housing and economic datasets a strong plus (i.e. demographic data such as Census, Claritas and economic time series data such as provided by Moody's Analytics and micro data such as IPUMS and other loan-level mortgage databases.
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You will work closely with our project development team, allowing you to gain experience in renewable energy and data center project development in globally competitive markets like ERCOT, SPP, and MISO. You will work across the organization and be responsible for leading project development and communicating effectively with our customers and other stakeholders to bring these projects to life.
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