Customer Success Data Scientist

🕒 July 18

🗣️🇪🇸 Spanish Required

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Logo of Cloud Software Group

Cloud Software Group

10,000+ employees

Software • Cloud Computing • Technology

Cloud Software Group is a leading cloud solution provider formed from the merger of Citrix and TIBCO. Serving over 100 million users worldwide, this company offers a suite of cloud-based products designed to facilitate remote work across various industries. Cloud Software Group is committed to fostering a diverse and inclusive workplace, emphasizing innovation and growth. The company seeks to empower its team to contribute to the future of work by leveraging diverse experiences and taking calculated risks.

📋 Description

• Use Spotfire and data science skills to collaborate with customers, translating their business objectives into actionable success plans. • Develop a deep understanding of industry analytics use cases. • Conduct regular customer health assessments and build consultative relationships as a trusted advisor. • Perform and guide R&D topics in the field of applied machine learning and AI. • Collaborate with sales, support, product management, and engineering teams. • Engage with customers in the Spotfire community to drive adoption and enablement. • Continue to develop expertise and monitor trends in industry analytics and visual data science tools and techniques.

🎯 Requirements

• 3-5+ years of data science experience using software environments and programming languages e.g. Spotfire, Tableau, Qlikview, JMP, KNIME, Dataiku, Azure, AWS, Databricks, Snowflake, and programming languages Python, R. • Experience with other software components for data preparation and integration e.g. Data Virtualization is a plus. • Knowledge of SQL, .Net, Java, IronPython, Javascript, C++ and knowledge of Generative AI is a plus. • 3-5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. • Problem-solver with experience applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources. • 3-5+ years of Industry experience in applying analytics to the sector specific data problems in key Industry such as Manufacturing, Energy, Transportation & Logistics and Life Sciences. • Bachelor's or higher degree in Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study with graduate classes in statistics and data mining. • Proficiency in English is required; fluency in Spanish or Portuguese is a plus. • Full working rights for the United States.

🏖️ Benefits

• Access to healthcare • Life insurance and disability benefits • 401(k) plan and company match

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