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Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure.
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Assist in field data collection, management, and analysis to support environmental assessment and impact studies, hydrodynamic modeling, habitat restoration, and other similar projects. Bachelor's degree in Biology, Environmental Science, Fisheries, Ecology, Natural Resources, Environmental Planning, or a related field.
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MS in Computer Science and 6 years as a Salesforce architect, OR. BS in Computer Science and 8 years as a Salesforce architect. Lead the Salesforce Development Team in the design and development of Salesforce custom solutions comprising of work in Apex, Visual Force, Salesforce APIs, Lightning, and data migration.
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Our Data Engineering teams build scalable data platforms and pipelines for modern analytics and AI services using Python, Airflow, and AWS, GCP, or Azure data storage and warehousing services.
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Has Python programming experienceIs familiar with Linux-based (specifically Raspberry PI) platformsFamiliarity with data analysis and statistical methods is desiredMust be willing to travel to support field effortsPossesses strong verbal and written communication skills, and has the ability to contribute to written technical reports and presentationsHas the ability to work independently and as part of a team and the ability to interact well with external collaborators.
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Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. The Card Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
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Grounded in Wall Street and enabled by technology, Mirador combines powerful data science and deep financial expertise to provide best-of-breed financial reporting services for U/HNW investment portfolios.
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Maintain GLP's, GMP's, and all required laboratory records, using electronic systems and written protocols, to ensure data integrity and compliance. Bachelor's or Master's degree in Food Science, Food Technology, Biotechnology, Biochemistry, or a related field.
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Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud & Data Center, Networking, Security, and Managed/Professional/Staffing services.
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Preferred Qualifications: A Master’s Degree in Materials Science, Chemistry, or Chemical EngineeringMedium and high voltage electrical industry experienceKnowledge of Metallurgy, Chemistry, and/or associated processes.
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Office responsibilities may include inputting data into MS Excel spreadsheets, equipment repair, calibration and maintenance. Job responsibilities will include setting up and operating air monitoring equipment at client sites, data collection, coordination of field work and equipment logistics, and DOT regulated driving.
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Bachelor’s degree required, preferably with a discipline in data analysis, computer science, criminal justice, or business intelligence. Minimum 3 years’ experience with data analysis, analytics and/or business intelligence software.
$55,000 - $65,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Monitor and analyze marketing performance metrics and make data-driven adjustments to optimize campaigns. - Bachelor's degree in Marketing, Computer Science, or a related field. - Utilize AI tools and technologies to analyze customer data and behavior, and make recommendations for targeted marketing efforts.
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Expertise in various technical areas such as data modeling, integration, security and customization. Previous experience with Azure DevOps, DX, Tricentis Tosca, Oracle SOA a plus. Azure DevOps, DX, Tricentis Tosca, Oracle SOA a plus.
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data science jobs in Lisle, IL
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