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Pioneer novel methods for multi-modal data analysis (e.g. network analysis, machine learning) and develop new data visualization solutions. Big-data biology requires innovations in data analysis and visualization to catalyze interpretation and discovery.
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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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Familiarity with product data science, understanding and tracking user behavior using analytical lenses like engagement, conversion, cohorts, segmentation and funnel analysis. 5+ years of Data Science or other quantitative field.
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Experience collaborating and building relationships with cross-functional stakeholders, influencing business decisions with data. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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Familiarity with data visualization tools such as matplotlib, seaborn, Tableau and Looker. 3+ years of experience in a data scientist or analytics role. We translate that data into actionable, opinionated insights that help companies increase the financial and experiential performance of any workplace.
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Improve our tools for data analytics, visualization, governance, and lineage (e.g. Databricks, Redash, Amundsen, Marquez, etc.) From distributed data processing with Apache Spark to full stack web development on the Experimentation UI, to building and maintaining Kubernetes applications, you’ll have the opportunity to wear many hats and create outsized impact.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with data and AI across TV and streaming video.
$136,036 - $199,870 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Williams-Sonoma, Inc. is looking for a Marketing BI (Business Intelligence) Analyst who is responsible for processing data, developing dashboards, and extracting actionable insights for the Digital Marketing and other Williams-Sonoma teams as needed.
$65,000 - $77,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience with HTS data management/visualization software (Dotmatics, Vortex, Datawarrior, Knime) The successful applicant will learn to design, optimize and conduct biochemical and cell-based high-throughput screens, analyze and upload screening data, train users, and assist with compound library management.
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Strong analytic skills related to working with Data Visualization Dashboard, Metrics and etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.
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Familiarity with visualization tools, SQL, Python, Tableau, Alteryx, Google Analytics and Campaign Manager (DCM) preferred. The Senior Analyst will have responsibility for campaign performance metrics as well as overall business process and network ecosystem data as it relates to defining, designing, and interpreting campaign results.
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Skills with AutoCAD and 3D modeling and visualization software (Sketchup, Rhino, Lumion) Advanced in technical and graphic software platforms including Adobe CC, Microsoft Office, and ArcGIS analysis tools as well as familiarity working with public datasets (USGS, USDA, US Census.
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The company’s platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs.
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Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc) The Cash App Data Science (DS) organization is growing and we are looking for a Data Scientist to join the team, embedded within our Sales and Account Management domain.
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Experience in developing an end-to-end AWS native platform for building Data lakes ( S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool like Tableau run on an EC2 or AWS Quicksight, Athena.
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visualization job Title: data analyst Company: Intuit in San Francisco, CA
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