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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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Responsible for the implementation and coordination of supplier transitions with cross-functional teams and matrix resources tied to strategic sourcing activities (including overseeing on-line qualification trials, sample testing, and distribution testing)WHAT YOU’LL NEEDUndergraduate or graduate degree in Quality & Food Safety, Animal Science or Food Science preferred.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3+ years of relevant work experience in health insurance, healthcare, public health, pharmacy, advanced analytics, machine learning, data science OR a master's degree in one of the fields listed above OR an actuarial credential.
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Minimum Qualifications:Bachelor's Degree/equivalent in business, human resource management, industrial organizational psychology or data science. Expertise in data analytics tools and programming languages (e.g., Azure, Data Bricks, Python, R, SQL.
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X or greater Banking domain Pega experience (especially in compliance and risk) Strong understanding of key business elements Prior framework implementation experience Strong Data analysis skills Graduate / Undergraduate studies in computer science is a plus.
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Preferred Bachelor of Science degree in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, or Math; Developer or Data Analytics nanodegree; or equivalent experience.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Certification in data science or analytics (e.g., Certified Analytics Professional, SnowPro Certified Advanced Data Scientist) Minimum 2 years of industry experience applying data science techniques and toolsets to solve practical problems.
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Our specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types as well as structural and building sciences, infrastructure asset management, advanced robotics, and more.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Design and implement end to end CPV analysis workflow in TIBCO Statistica (now known as TIBCO Data Science Workbench), to interface with Spotfire (TIBCO Spotfire Platform) for gathering and processing curated inputs for Statistica analysis.
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Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research). The VP Data Scientist will help build robust and scalable solutions for various banking domains, and also enable the services to be deployed and integrated into existing business workflow.
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Basic Qualifications (Required Skills/Experience):Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Experience with microservices/RESTful API, relational/NoSql databases, data modeling and data ingestion frameworks Hands-on experience with data streaming and messaging frameworks (Kafka, Spark, etc.
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This role will be responsible for architecting, designing, and implementing Advanced Analytics capabilities within the Enterprise Data Warehouse (EDW) platform on Teradata, Azure Data Lake, Databricks, and other related ETL technologies.
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Bachelor’s OR Master’s Degree in Computer Science, Information Systems, or other related field, or equivalent work experience in Information Security domains such as Identity and Access Management, Network Security, Endpoint Security, Application Security, Governance & Compliance, or Incident Response.
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Our ideal candidate will have:Degree specialized in a Science, Technology, Engineering, Mathematics disciplineScripting experience in (Python, R, Spark, and SQL)Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)Experience utilizing and developing within AWS services.
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data science jobs in Richardson, TX
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