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As a Sr. Operations Scientist, Quality Control, you will report to Head of Corporate Quality Control, and will help build out the corporate QC function, support assay transfer and qualification activities, and support the raw materials qualification program.
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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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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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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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Often, candidates have additional experience supporting other functions as a data analyst or in BI-, reporting-, or analytics-engineering roles. 4-6 years of performance marketing analytics Successful candidates typically have four to six years supporting product, growth, or marketing teams as a dedicated data analyst.
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Three + years of experience with data manipulation and data quality control. The programmer analyst will play a pivotal role in supporting researchers and Principal Investigators by employing analytical tools such as python, SQL, SAS, R, or Stata to work with electronic medical records and claims data.
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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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The Mechanical / Electrical / Plumbing (MEP) Inspector will support a variety of MEP construction projects that may include water/wastewater, chemical or manufacturing including piping, equipment and instrumentation construction; electrical power distribution systems conduit and wiring; voice/tele/data systems; instrumentation and control systems; plumbing; HVAC installation and commissioning of Plant systems.
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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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Data Quality Systems & Strategy (~30%) Rebuild and streamline data warehouse SQL models that support CALPADS. This is alongside the team-wide ongoing data warehouse migration process to move our infrastructure and functionality to an updated and best in class solution with BigQuery and dbtCloud.
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Collaborate with software engineers to integrate data collection and instrumentation into existing and new systems, ensuring data quality and consistency. Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery.
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Assist in preparation/implementation of quality control procedures, i.e., inspection instructions, control measuring and test equipment, etc. Implement and maintain the approved Contractor Quality Control Plan including responsibility for all required preparatory meetings, initial inspections and follow-up inspections.
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At People Data Labs, we’re committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy. Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness.
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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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Knowledge of the data lifecycle, data governance, data quality, and data management best practices. The Senior Investment Data Analyst plays a crucial role in driving an integrated investment data strategy via engaging cross-functionally with data engineers to support key stakeholders across the Firm from investment research to portfolio management, investment compliance, risk, and reporting.
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data quality jobs Title: quality analyst Company: Citi in San Francisco, CA
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