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The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Define requirements for the Data Technology team on data processing and storage to facilitate a variety of analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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In depth expertise with streaming data components Kafka, Spark, Flink Hadoop, Presto/Trino, RedisDemonstrated leadership, mentoring, and collaboration skills balancing strategic and tactical needs.
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Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc) A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role.
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Conduct thorough exploratory data analysis and preprocessing of Earth observation data to ensure data quality and suitability for analysis in carbon monitoring and climate-related applications.
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The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team. A bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR.
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From environmental planning, permitting, remediation, site characterization and Archaeology to chemical data management and hydrogeology, Kleinfelder offers a variety of services designed to provide technically appropriate and cost-effective solutions.
$71,626 - $119,399 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Principal Data Scientist: Statistical Programmer will report to the VP, Data Science and will focus on applying programming methodology for implementing statistical analyses using SAS for in-house deliverables and performing quality review of outsourced statistical deliverables.
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This includes managing data lakes, data warehouses, and databases, as well as implementing best practices for data modeling, data quality, and data governance.
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Experience assessing data quality, designing experiments to understand mechanisms underlying data behaviors, and devising solutions for data improvement. This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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Use your data and analytics experience to ‘see what’s missing,’ identifying and addressing data gaps, build monitors to detect data quality issues and partner to establish a self-serve environment.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Working in collaboration with statisticians, data managers, clinical team, CMOs, data vendors, IT, Reimbursement & Health Economics and quality assurance staff, the Market Access Analytics Associate Manager will provide market access data analysis reports and tools that enhance business processes.
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In this role, you will have the opportunity to contribute to several high-quality data solutions and enhance your technical skills across many disciplines. 3 or more years of relevant technical experience in AWS + Big Data (Cloudera) technologiesDesign, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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data quality jobs Title: developer Company: Capgemini Holding in Emeryville, CA
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