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Lead the design of enterprise-grade data platforms addressing needs across Data Engineering, Data Science, and Data Analysis, capitalizing on the capabilities of Azure Databricks.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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As an Data Scientist Director in the ISDA team you will be working on exciting end-end machine learning problems and solutions. Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and our Corporate Function Partners.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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A: Biology/DNAGraduation from an accredited four-year college or university with a Bachelor's degree in Biology, Chemistry, Forensic Science. Train, supervise, and evaluate employees in the respective forensic science discipline.
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Provide input and analytical support to cross-functional teams running data science and AI procedures. Minimum 2+ years of complex data mining and analysis experience. Ability to frame problems, dive deep into analyzing complex data sets, evaluate implications and present insights with actionable opportunities.
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As SAP Master Data Management Technical Lead, you will be responsible for leading the planning, development and implementation of (MDM) and relevant software solutions that align to the Information Technology roadmap and business strategies.
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Must have 2 yrs of exp w/: Data modeling, data warehousing, & building high-volume ETL/ELT pipelines End to End; data profiling & data quality tools; at least 1 MPP database tech such as Redshift, Synapse, BigQuery or SnowFlake; Cloud Orchestration tools such as Airflow, Azure Data Factory ,mng complex dependencies & strict SLA's.
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Data Protection: Develop and implement data encryption, masking, tokenization, and data loss prevention (DLP) solutions to protect sensitive data stored in Azure services. You will lead the design, implementation, and management of security solutions to protect against advanced cyber threats, ensure compliance with regulatory requirements, and maintain the integrity and confidentiality of sensitive data.
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Experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure) Experience with ETL Tools (Informatica, DataStage, Data Build Tool, etc.) Compliance to Agile Jira SDLC controls, Service Now Change & Incident management, and Data Ops Gitlab CI/CD pipeline.
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Bachelor’s degree in relevant quantitative discipline with a focus on data engineering, data warehousing, computer science and/or data-driven analytics. (For internal candidates) - Working knowledge of internal data platforms (ICDW, Cloud sources) and/or applications (Customer Assist, First Assist, IDMS, Quest.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We're not a traditional Data Science team: we build creative ML solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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Experience with JMP or other statistical tools for data analysis. Knowledge of device physics, semiconductor wafer fab and packing. Bachelor’s Degree in Electrical Engineering, Semiconductor Device Physics, Materials, or relevant field.
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data science jobs Company: Verizon in Richardson, TX
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