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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field. Experience with cloud-based data warehouse platforms (AWS RedShift, GCP BigQuery, Snowflake or equivalent.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience effectively communicating with various partners, stakeholders, or customers on the value of statistical and data science methods to include but not limited to:The strength of models/formulas.
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Lead Data Architect for TPIZ page is loaded. Lead Data Architect for TPIZ. This technology leader will bring in the experience of SaaS/cloud solutions (Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms.
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Lead the planning, design, and execution of the data migration strategy from Oracle Apps EBS Suite, SQL Server, SharePoint, and unstructured data sources to Microsoft Dynamics 365 CRM.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Senior Data Modeler position is a highly technical position with responsibility to lead the development, validation, publishing, and maintenance of logical and physical data models required for the data lake, delta lake, EDW and for new business requirements to be implemented.
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. Hands-on experience with DataBricks for building and optimizing data pipelines.
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Hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
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Garner key insights from data and communicate these findings to key stakeholders to help make data-driven decisions; key technologies include SQL, Python, R, Tableau, Microsoft, and Google suite of tools.
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The team will rely on your expertise in automating the transformation and manipulation of data to generate insights on product complaints & adverse events for Amgen. Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, preferred Oracle, PostgreSQL, and Hive SQL.
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Piper Companies is seeking a Jr. Data Scientist to join one of the nation's largest premier credit unions based out of Mclean,VA. The Data Scientist will implement quantitative models to analyze credit and prepayment risk, determine the allowance for loan losses, and support financial planning.
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ChampionX is currently looking for a highly motivated Airborne Data Scientist in Boulder, CO. The Airborne Data Scientist will be primarily responsible for analyzing flight data from unmanned aerial vehicles (UAV) and manned aircraft flights with the ultimate objective to locate and quantify methane and other trace gas emissions.
$85,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Serve as the data science lead interfacing with clients and investors when needed. This role will provide leadership in using data science to help modernize and optimize the development of fermentation and DSP processes for production of proteins, lipids, amino acids, organic acids, polysaccharides, hydrocolloids, and enzymes using bacterial, yeast, and fungal hosts.
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data job Title: data science lead Company: Springboard
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