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Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness) At People Data Labs, we’re committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy.
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Evolve our existing data quality and data governance processes. 1+ years of experience working with SQL-driven transform libraries that support an ELT paradigm, like dbt or sqlmesh, at scale, including setting up CI/CD pipelines that ensure high quality transformations.
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This role interfaces across the organization and focuses heavily on technical data handling expertise, XFN collaboration, data management, ETL framework design and improvement, taxonomy enrichment/ maintenance, data quality, data governance, custom reporting, and enriching data.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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The Sr. Director, Clinical Data Management (CDM) will be responsible for the operational and strategic aspects of data management across the organization, including data governance, data quality, and data strategy.
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Collaborates with Clinical Operations, Data Management, Clinical Development, Drug Safety, Statistical Programming, and Biostatistics to develop standard and custom data reports for quality data oversight / clinical data review.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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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.
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Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.
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The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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We are looking for a Data & Analytics specialist to connect and organize our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts.
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Remote Data Analyst. Experience working in Databricks (including delta live tables, data lakehouse patterns, 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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The founders at this dynamic tech start-up (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford - at every place they worked, they repeatedly encountered the same issue - AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality.
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Experience with data products (discovery, quality checks, etc) on Google Cloud Platform, Kubernetes, DBT, or Dagster/Airflow. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
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data quality jobs Title: data specialist Company: Capital One in South San Francisco, CA
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