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Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques. Stay current with industry trends, tools, and technologies related to data engineering, analytics, and visualization, and recommend and implement improvements to our data infrastructure and processes.
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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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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You will drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
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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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Experience using Medidata EDC and data visualization programs (e.g., R-Shiny, SAS, SpotFire, Tableu, Excel Pivot Tables, etc.) Scorpion has built a proprietary and fully integrated platform of the most advanced technologies across cancer biology, medicinal chemistry, and data sciences, with the goal of consistently and rapidly creating exquisitely selective small molecule compounds against an unprecedented spectrum of targets.
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Demonstrated experience with at least one visualization tool and one library from - Tableau, Tableau CRM,Power BI, D3, Apache e-charts, Streamlit, Gradio, R-Shiny, Dash, etc. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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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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Experience with data visualization tools such as Tableau, MixPanel, Google Looker. Experience with Open Source Data Visualization tools. 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.
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Proficiency in SQL and experience with data visualization tools like Tableau, Looker, or similar. Proven project management skills, including implementing, documenting, and communicating optimally with collaborators and partners during requirement gathering, data modeling, and visualization.
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Experience with data visualization tools such as Power BI, Tableau, Looker, etc. You will report to the Senior Manager, Financial Analysis CCS and will support the Global Commercial Customer Success organization on forecast process, business analytics, performance measures and data driven decision making.
$124,700 - $201,740 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficient coding skills (Python/SQL), data visualization and database knowledge. Experience with Tableau or similar data visualization tools. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience working with various marketing tools required, including but not limited to: Customer Relationship Management systems (preferably Salesforce), Email Marketing systems (preferably HubSpot) and Metrics and data visualization tools (preferably Power BI.
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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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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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data visualization jobs Title: data analyst Company: Intuit in San Francisco, CA
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