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Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com .

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🔥 Vice President, Machine Learning Engineering
Posted 2024-11-14

📍 United States of America

🧭 Full-Time

💸 220000 - 280000 USD per year

🔍 Life Sciences and Healthcare

  • Bachelor’s degree in Computer Science or related field (or equivalent applicable experience).
  • 8+ years of industry experience with at least 2+ years in engineering management.
  • Experience in delivering ML/AI products.
  • Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is preferred.
  • Ability to collaborate with cross-functional teams and product owners.
  • Experience in taking ownership of critical problems and delivering project outcomes.
  • Hands-on technical work experience and technical leadership experience.
  • Experience with current commercial LLMs like GPT-4.
  • Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
  • Experience designing software for the life science industry.

  • Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities across the Clarivate life sciences portfolio.
  • Assist in communicating AI investment and growth opportunities to the ELT, CEO, and potentially the Board of Directors.
  • Formulate, communicate, and lead the iteration of implementation approaches to achieve AI project goals.
  • Hire, lead and manage a diverse, high-performing engineering team to execute against these goals.
  • Collaborate with product owners and biologists to understand workflows and business opportunities.
  • Spend extensive time analyzing data and contribute meaningful amounts of code and documentation.
  • Mentor and develop junior engineers and data scientists.

LeadershipProject ManagementPythonSoftware DevelopmentAgileArtificial IntelligenceBusiness AnalysisData AnalysisKerasMachine LearningPeople ManagementPyTorchSoftware ArchitectureCross-functional Team LeadershipStrategyAlgorithmsData analysisGoTensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesMentoringAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationDocumentationCoaching

Posted 2024-11-14
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🔥 Customer Success Manager
Posted 2024-11-07

📍 Italy

🧭 Full-Time

🔍 Academic and Government solutions

  • Bachelor’s degree in Library Information Science or related fields.
  • At least 5 years of experience in a customer-facing role like Customer Success or Account Management.
  • Previous experience with library software solutions from vendors like Ex Libris.
  • Fluency in both Italian and English is required.
  • A Master’s degree and experience with Customer Success software platforms are preferred.
  • A background in academic libraries, government, or higher education is strongly preferred.

  • Become a trusted advocate/advisor to customers by providing necessary support to achieve desired business outcomes.
  • Deliver an exceptional customer experience ensuring customers derive value from products and services.
  • Oversee customer training and implement adoption strategies to maximize satisfaction and ROI.
  • Identify expansion opportunities and secure existing business across products and services offered.
  • Coordinate internal working relationships with various teams to maintain customer focus and engagement.
  • Conduct regular business reviews with key customer contacts to assess progress against goals.
  • Support Customer Success leadership by leading initiatives for the mission's expansion.
  • Mentor team members by sharing expertise and providing suggestions for improvement.

LeadershipData AnalysisProduct ManagementSalesforceCross-functional Team LeadershipData analysisCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
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