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Magnifi is seeking a Senior LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. Magnifi by TIFIN is changing the way consumers shop for investments by bringing trusted data, insights, and a world of investment opportunities right to their fingertips.
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The Opportunity:As a Data Scientist at Kandji, your research will advance our core MDM and EDR products by leveraging machine learning techniques to enable automatic threat detection. You will be a critical part of our R&D organization, collaborating with the Threat Intelligence and Data Engineering teams to deliver innovative solutions to the Product organization.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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The Lead Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Specifically, we are looking for a Senior data scientist with 5+ years of experience to work with our Data team to power our analytics and some user-facing products. As a data scientist at CoinList, you'll find that your days are filled with all sorts of fascinating challenges.
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Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema) Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink.
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Experience with Customer Data Platforms (CDP) like Segment, mParticle, Tealium AudienceStream or other industry leading CDP technology would be a plusHands-on experience with marketing platforms such as Google Analytics, Adobe Analytics, Marketo, HubSpot, Salesforce Marketing Cloud, etc would be a plusFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (S3, Redshift, BigQuery, etc.
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We are seeking a full-time, Environmental Scientist for our Oakland, CA operations. Analytical skills related to qualitative and quantitative data. Organize and review data. Information and data analysis.
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The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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Use appropriate machine learning and statistical methods to gain insights from our experimental data and publicly available proteomic, transcriptomic, and genomic resources. Effectively use public datasets and guide generation of internal experimental data to characterize and evaluate locational protein targets.
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The Cyber Security Specialist (Data Security) continuously identifies, tracks, shares, and supports operational IT security requirements across the Ninth Circuit, with an emphasis on data security and analysis.
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Job Summary: The Associate Scientist I will be a member of the CMC Biologics Cell Culture Development group, responsible for providing support for the development of novel biologics and bioprocess innovation projects, performing laboratory maintenance, and executing tasks to support departmental and project goals.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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Research Scientist, Road Understanding Mountain View, California, United States San Francisco, California, United States. Whatever your decision about providing this data, it will not be considered in the hiring process or as a basis for employment decisions.
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Title: data scientist Company: Snapchat in San Francisco, CA
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