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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Participating in providing mentorship and investing talent growth within Data & Analytics practice area. Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent.
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The Data Engineer II will contribute to the Company's success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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Data Risk & Privacy - Data Governance - Data Modeling / Ontologist & Knowledge Engineering - Manager
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You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resilency, response, and technical implementation activities. EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Required Keywords:(ANALYTICS) AND (DATA) AND ("AI/ML" OR "ML/AI" OR "ARTIFICIAL INTELLIGENCE") AND (AUTOMATION OR MODEL OR MAPPING OR BUSINESS or COE) AND (DATABRICKS OR "DATA BRICKS") AND (DWC OR "DATA WAREHOUSE" OR LAKEHOUSE OR "WAREHOUSE CLOUD") AND ("SAP CLOUD" OR SAC) AND (AZURE OR ADLS OR ADF OR SNOWFLAKE OR "AZURE ECOSYSTEM" OR "AZURE ML") AND ("GEN AI" OR GENAI OR "GENERATIVE AI") AND (ARCHITECT OR ARCHITECTURE OR ENTERPRISE OR ENGINEER.
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Designing, testing, implementing, and monitoring data integration programs to publish data from the EDW into dimensional models, flat files, and proprietary structures to meet the needs for reporting, analytics, and external data requests.
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JOB DESCRIPTION Senior Data Scientist Technology Department Reports to : SVP, Data, Analytics & AI Innovation Job Summary As a Senior Data Scientist at Calcium+Company, you will play a pivotal role in leveraging data and AI to inform and optimize our marketing strategies.
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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. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Mandated government pricing and US market access data analytics at a teach-it levelPlease visit to learn more about the comprehensive benefits program GSK offers US employees. Develop and coaching of team membersLead the team in the development of best-in-class customer facing materials, tools and resources demonstrating product value to customersLead the team in performing ad-hoc analysis of critical Market Access business questions utilizing multiple advanced data analytics approaches.
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Working closely with the business units to provide analysis, advice, and guidance as it relates to financial Market Data including financial content and analytics products. Your sense of ownership is needed as you take on responsibility for data compliance and data access honesty reporting for Refinitiv and direct relationship exchanges in Americas, managing Americas accrual inventory system including managing the accrual to allowable limits and reconciling and resolving accrual variance.
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Experience with one or more data visualization software packages (e.g., Tableau, Microsoft BI, Qlik, etc.) Background and experience should emphasize data processing and quantitative research skills.
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We are seeking a talented and experienced technical Implementation Manager to join our rapidly growing Data and Analytics team. The Data Analytics Implementation Manager will lead cross-functional teams in executing data-driven initiatives from planning through delivery.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Title: data analytics Company: Volkswagen Group in Philadelphia, PA
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