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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python.
$120,700 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. As a Principal data scientist, you will create forward-thinking solutions for the next generation of journalism.
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Integrate data analytics (DA) into all source production working alongside industry-leading data scientists to directly support the client's production, plans, and operations.
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The contractor shall serve as SCO technical and sustainment manager /executor for the AMC Predictive Analytics Suite (APAS) and Vantage data platform. Experience: More than one year of experience integrating Army maintenance, logistics, financial, or contracting data into data-driven decision-making applications using an Army or DoD cloud big data analytics environment such as Army Vantage, AMC Predictive Analytics Suite (APAS), or Advana.
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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
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Proficiency with data, analytics, and visualization technologies - Snowflake SQL and Looker equivalents. The Account Management Analytics team is building the data-driven programs and technology to increase team efficiency and effectiveness and improve the experience of businesses that use Square’s ecosystem of products.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. Job DescriptionThe Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team. - Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLflow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
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As a Staff Data Scientist, you will utilize your expertise in data mining, predictive modeling, machine learning, and NLP techniques to drive strategic decisions for WCS. You will be at the forefront of implementing models and strategies using A/B testing or Design of Experiments (DOE), tracking business performance, and providing insightful visualizations to support and continuously improve WCS business strategy.
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Independently and collaboratively identify and deliver high quality drug candidates based on protein/peptide conjugation. Job Overview : The successful candidate will provide deep expertise in protein and peptide bioanalysis to support the advancement of projects across multiple drug discovery programs.
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Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions.
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