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Primary responsibilities will include analysis in our many data sources (Enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform) to build recommendation and propensity models as well as working with Data Engineering to identify, clean and integrate data into destination stores.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Experience in integrating with cloud-based data warehouses/data lakes (e.g. Snowflake, Databricks. Salesforce certifications (Marketing Cloud Administrator/Consultant/Email Specialist, Salesforce Data Cloud Consultant.
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We are looking for a senior data scientist with experience building production ready machine learning models for enterprise scale to help lead transformative change within a F200 company. 3-5+ years experience working in a cloud environment within a Data Science team focused on building Machine Learning models for production and experience working alongside ML Engineers, DevOps, and IT teams (required.
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This individual will participate in the design, development, documentation, and quality control process for SAS programs used to access, extract, transform, review, analyze, and submit clinical data and analysis results for Abiomed studies.
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3+ years of direct experience in Ai modeling, data engineering, and image processing especially in contexts related to X-Ray imaging or related fields. Design and manage database structures specific to VISS and AXIS, ensuring efficient storage, quick retrieval, and system-wide compatibility for image data using languages and tools such as Python, SQL, and relevant image processing libraries.
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Experience using Enterprise Software, Data Collection Systems, AUTOCAD, and Creo 5.0 or equivalent 3D CAD system. Evaluates & improves manufacturing processes by designing and conducting data analysis; applying knowledge of product design, fabrication, assembly, tooling, and materials; conferring with equipment vendors.
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Data Center infrastructure solutions: Cisco (R&S), Palo Alto (NGFW + IDS/IPS functions), Infoblox (DDI), Cisco ISE, also implemented on Cisco products. Experience working with Data Center Colocation facilities and virtual network fabric provided by vendors such as Equinix and Mega-Port.
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Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering) Champion of data technologies in areas of data integration, Business Intelligence and AI/ML.
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Brands (Taco Bell, KFC, Pizza Hut, and Habit Burger) and A&W.This position will work collaboratively with the RSCS Procurement, Program Management and Finance teams using data analytics to formulate business decisions that create value for RSCS members.
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In this role as Lead Data Scientist, your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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Strong analytical skills and experience in quantitative and qualitative research methods, translating complex data into actionable insights. Translate market insights into actionable strategies: Recommend and implement data-driven strategies for marketing campaigns, sales messaging and enablement, and product development based on segment-specific needs and opportunities.
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The data movement processes are implemented using Microsoft Business Intelligence tools (SSIS, web services, and Web API). Develop and compile data for unit, peer, and/or integration testing of programs.
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Avamar, Data Domain, EMC Networker, NetBackup, CommVault, Veeam, Cohesity. Avamar, Data Domain, EMC Networker, NetBackup, CommVault, Veeam, Cohesity. The Backup Administrator role will function as a Junior Engineer in a managed services environment supporting a variety of customers ranging from medium size business to large enterprise and will support a variety of backup configurations and platforms.
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Strong technical skills, including ability to process and analyze data using DHIS2 and one or more statistical software packages, e.g., SPSS, Epi-Info, Stata, MS Excel. Proven expertise in quantitative and qualitative data collection and analysis methodologies, health management information systems, data visualization and reporting.
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data job in Frankfort, KY
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