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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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The Senior Medical Science Liaison (MSL) serves as a trusted scientific expert and partner representing Bayer in the medical community through the dissemination of and education on scientific data related to Bayer products across the product lifecycle.
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The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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Function as the MSA and Fintech conduit with VCA North America (Segment Leaders, Practices, Solutions, and Data Science) and teams outside of VCA (Account Executives, Product Teams) to drive integration across the solution lifecycle (planning, requirements, design, testing, commercialization, and rollout.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Principal Data Architect - Telecom, Media & Technology - Senior Manager - Consulting - Location OPEN
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Bachelor’s degree in Technology, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning and at least 8-10 years professional consulting experience in industry or in technology consulting.
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Education: Associates Degree in Automation, Fluid Power, Electronics, Robotics, Computer Science, or similar. Has the ability and desire to approach technical education as a life-long process to stay current in the field including PLC Programming, Power and Controls Systems, Laser Measurement Technology, Industrial Computing, and Data Analysis while maintaining related certifications and credentials and exhibiting a high level of job performance.
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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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