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Minimum Education: Bachelor’s degree in computer science, software engineering, data science, software development or STEM related specialty and 6 years' releated professional experience; Or Master’s degree in computer science, software engineering, data science, software development, or STEM related specialty and 4 years' related professional experience.
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Experience in data science; particularly, implementing machine learning algorithms. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide.
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Experience in Payroll & Benefits Services, Employee Data Management (EDM) Services, HR Inquiry Support Services, Employee Relations Services, Performance Management & Talent Management Services, Total Rewards Services, Mobility Services, and Learning & Development Services.
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Solution Design and “Hands-on” experience with IBM Hybrid Data Management software or equivalent, including watsonx. data, watsonx.gov, Db2, Netezza Performance Server, Data OEM partnerships (DataStax, MongoDB, EDB and Cloudera), and/or Cloud Pak for Data.
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When considering applicants for this role, we look for education and background in a combination of areas such as business / data analytics, computer science, design thinking, engineering, entrepreneurship, go-to-market (GTM) strategy, market / user research, product management, product development, and technology commercialization.
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Expertise in the Data & AI market to serve as a trusted client advisor (training on IBM's Data & AI offerings will be provided). A Technology Sales Specialist role (what we internally call a, 'Brand Sales Specialist') in IBM's Data & AI brand means accelerating enterprises' success by improving their ability to understand their data.
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Experience with IBM Data and AI solutions. A Technology Sales Engineer role (what we internally call a, 'Brand Technical Specialist') within IBM's Data & AI brand means accelerating enterprises' success by improving their ability to understand their data.
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Technology (Data and AI) Market Knowledge: Expertise in the Data & AI market to serve as a trusted client advisor (training on IBM's Data & AI offerings will be provided). We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
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Data & AI Market Knowledge: Expertise in the Data & AI market to serve as a trusted client advisor (training on IBM's Data & AI offerings will be provided). It means providing solutions that enable people across organizations, in multiple roles, the ability to turn data into actionable insights without having to wait for IT. And it means selling multi-award winning software, and world-class design practices that enables business analysts to ask new questions.
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At least 4-6 years experience with a major business Consulting firm, Software, Sales, Data Science or Banking/Finance. At least 4-6 years experience with a major business Consulting firm, Software, Sales, Data Science, or Banking/Finance.
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Understanding of data science open-source technologies including Python, Jupyter notebooks, TensorFlow and Spark. As a Build Team AI Engineer/Architect with Data Science focus, you will support IBM's premier partners in the creation of AI application offerings that work smarter and more effectively by infusing artificial intelligence and data science workflows to extract business insights from data.
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Understanding of governance principles, including familiarity with the core objectives of data governance. Previous experience in the development of policy documentation (particularly information or data standards and guidelines preferred.
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IBM Data and AI Software Sales Representative for the DoD in Washington, District Of Columbia Introduction. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing, and blockchain.
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Education: Seeking B.S. or M.S. degree in Computer Science, Artificial Intelligence, Data Science, Math, Statistics, Engineering or equivalent technical degree/experience. IBM will not be providing visa sponsorship for this position now or in the future.
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