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This data gets used daily by executive consumers, empowers data science and machine learning projects, and is used for monthly/quarterly/yearly financial reconciliation. Payments, e-commerce, IAP experience – you’ve worked directly with payment processors/IAP partners and have experience working on direct credit/debit card payments Financial reconciliation and data/analytics experience – you’re a data person who can understand and document how data created in Production systems makes its way downstream into business intelligence and financial systems.
$132,300 - $245,700 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Minimum of an Undergraduate degree, preferably a master’s degree related to Intelligence Studies, Forensic Science, Security Studies, Computer Science, Cybersecurity, Data Analysis, or a related field.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Significant program development experience in some or all of the following: AI/ML, Security Operations, Governance Risk and Compliance, Data Security/Protection, Data Science, Software Engineering.
$147,200 - $269,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Program Manager will report to the Physician Assistant Studies Program Director and support the graduate physician assistant studies program at the Katz School of Science and Health.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Understanding of fields pertinent to GSBS students/trainees, such as biomedical sciences, neuroscience, and data science. Through a variety of mechanisms, collect and track data related to outcomes and placement of students and trainees.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Foster strong collaboration with teams across product, data science, business, and technology to drive, monitor, and realize high-impact strategic initiatives in the Business Telephony/Contact Center as a Service ("CCaas") domain.
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Manage/Oversee comprehensive insurance analytics program, including projects related to data engineering, data analysis, analytics modeling, and reporting. Bachelor's degree in mathematics, statistics, computer science, or a related field.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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2+ years experience on issues pertaining to artificial intelligence, machine learning (ML), or responsible innovation, such as AI/ML engineering, AI product development, data science with AI/ML components, inclusive design, ethics, safety, fairness,explainability, accessibility, privacy, security, AI governance, and/or AI policy.
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Is an information technology and bioscience company that specializes in providing innovative solutions in biomedical research and data science. Prepare program actions that do not go to the IRB such as data sharing plans, reliance agreements, and technology transfer agreements.
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Successfully communicate and collaborate with key XFN stakeholders (ex: Data Science, Business Engineering) to ensure the team is on track to deliver on any deliverables / milestones related to badging.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data.
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Manage and own complex cross-functional programs execution in a large matrix organization spanning product management, user experience, software engineering, hardware, firmware, QA, and Data science, from an early stage of development through launch to customers.
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Experience with/exposure to data science and/or machine learning. You’ll also be responsible for the management of a growing team of Project Managers, within the Data Science Group.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The successful candidate should possess the following: - 3+ years of experience overseeing full data pipeline process, including data collection, cleansing, transformation, analysis and visualization - Degree in Computer Science, Data Science, or Engineering - Knowledge of Python, SQL and of Cloud Platforms: AWS, Azure, or Google Cloud for data storage and processing - Salesforce, AWS and GCP certifications.
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