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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. As a Principal Product Scientist on the Product Science team, you will help lead strategic, data-driven decision making at Mailchimp.
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Experience with at least one major data visualization/analytics tool (e.g., Tableau, PowerBI, QlikView, Alteryx), evidenced by hands-on usage, project work, etc. Create data science assets and automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau, Microsoft Azure (Fabric, ML Studio, ADF, Synapse, PowerBI, etc.
$195,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Solid modeling foundation is a plus, including hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing.
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Hands-on experience with AWS CloudFormation, Terraform, or similar tools for automating infrastructure deployment. Vantage Master 2.0 certifications / Vantage Data Science Master certifications.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands on experience with Data Science tools and technologies on AWS with Python. Preferably 10+ years' experience having strong Data Analytical Skills with Hands-on Experience in Designing and Developing complex BI and Data Analytical Solutions.
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As an IT Trainee/Intern, you'll be thrust into the forefront of technological innovation, working on projects that span software development, network security, and data analysis. This role offers the rare opportunity to collaborate with leading IT experts, gain hands-on experience with cutting-edge technologies, and contribute to projects that shape the future of technology.
$4,000 a monthInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience, development, and expert knowledge of Collibra or similar catalogue/data governance platforms in support of multiple domains. Is seen as a delivery-oriented operational Business partner able to support and develop products for data capability which deliver on pressing needs across data analytic science, program/business needs, technology, and process enablement.
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Qualifications Required Skills and Experience Minimum 10+ years of hands-on experience developing analytics solutions using Snowflake, Tableau, or similar tools using ERP data, preferably SAP. Functional understanding and data flows of supply chain systems and processes.
$236,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Senior Data Engineer will play a leading role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.
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Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) At least 3-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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10% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged.
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Added advantage with hands on experience on Databricks, Snowflake & Palantir. Candidate should know how to utilize Graphs Datasets (Neo4J or Knowledge graph Data sets) in “Data Science graphs use cases and Algorithms” (clustering, community detection, DFS, BFS, GNN and CNN and Deep Learning, etc.
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Hands-on experience in social media management and nonprofit communications. The organization's mission is to empower women and youth from diverse backgrounds to join the tech community, learn new skills, and take on leadership roles through strategic partnerships and hands-on experiences.
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Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies. Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science.
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Hands-on experience in Azure Data Factory orchestration, managing dependencies, and writing data transformation logic. Bachelor's degree in Computer Science, Engineering, or related field, with 10+ years of experience in data platforms, data engineering, and ETL processes.
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