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Experience working in Google Data Studio, Adobe T&T, Adobe Analytics, Google 360, Google Search Console, BrightEdge, SEM Rush, SEM Ranking. Ability to write content for SEO. Ability to develop content for SEO or advise on content development for organic channels Experience with Brightedge, SEM Rush, SEM Ranking, Google Console Extracts insight from campaign data, identifies relevant trends and provides well-developed proactive recommendations to enhance and exceed overall client search marketing goals and objectives.
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An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline. Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain: Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques & domain intuition, and executing hands-on experimental models & backtests.
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We oversee the analytics that enable our leaders to make data-driven decisions and lay the groundwork for an integrated financial and operational plan. Excellent quantitative and MS Excel skills (i.e. sumifs, index/match and vlookup, table formulas.
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Quantitative Systems Pharmacology (QSP) & Physiologically Based Pharmacokinetics (PBPK) have become important components of discovery and clinical development. Maintain, advance, and coordinate codebases and documentation for data integration and analysis as well as model simulation, characterization, and calibration.
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The team owns news features both on the Search page ( "Top Stories”), the "News” tab in Search, and news results as they appear across client Search e.g. for sports, finance, and weather queries.
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Molecular biology and biochemistry: RNA and DNA extractions, cloning, mutagenesis, quantitative PCR, protein immunoprecipitations, Western blotting, and proteomic sample preparation. Bioinformatic workflows for analysis of next generation sequencing and/or proteomic data.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc. As the Growth Marketing Analyst, you will provide insights through the analysis of the vast amount of data captured by Quince, and develop actionable strategies that will help us allocate marketing resources to activities that yield the best results.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$232,000 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Job Description As the Head of Data you will be responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams and will be the architect of Square’s Data strategy.
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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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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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Undergraduate degree required, preferably in a quantitative field such as math, statistics, econometrics, operations research, physics, financial engineering, etc. Graduate degree in a related quantitative area such as applied math, statistics, operations research, econometrics, finance or related field, preferred.
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Direct and oversee paid advertising campaigns (Google Search, shopping, social), acting as a media buyer and creative strategist to maximize ROI. Extensive experience using Segment.io and Klayvio to develop customized customer journeys across platforms (Bonus if you have experience integrating data from CallRail, social media accounts, and Salesforce as additional inputs to develop a clear UCP.
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search data quantitative jobs in San Francisco, CA
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