Lead Customer Success Data Remote R104377 - Remote Eligible

Lead Customer Success Data Scientist - Industry Analytics

This is a remote position with Spotfire, a business unit of Cloud Software Group. Spotfire combines visualizations and advanced analytics to allow experts to find industry-specific solutions. We are looking for dynamic individuals willing to take risks to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment.

Our global Customer Success team is a central part of the company strategy. The team focuses on customers, innovation, and the community of scientists, engineers, and data scientists. The team is responsible for guiding customers to successfully adopt and maximize value from their investment in Spotfire.

We are seeking a Lead Customer Success Data Scientist to join our team in the North America region. Texas, United States is preferred, and we will consider Canada and other areas in the United States except New York and California. This role is ideal for a candidate with proven expertise in Manufacturing, Energy, or Life Sciences industry and a strong passion for Visual Data Science.

In this role, you will be the driving force behind long-term customer success for a portfolio of clients, responsible for achieving high adoption, retention, and satisfaction. You will serve as a trusted advisor to all customer stakeholders and act as the key liaison between the customer and internal Spotfire teams. The successful candidate will leverage their hands-on prowess and thought leadership to significantly grow our customers' analytical capabilities using Spotfire.

Responsibilities include:

• Technical Strategy: Use Spotfire and data science skills to collaborate with customers, translating their business objectives into actionable success plans.
• Customer Success Plans: Include onboarding, adoption, monitoring support, managing upgrades, enabling new features, and establishing a center of excellence.
• Trusted Advisor: Build consultative relationships and act as a trusted advisor helping navigate challenges and building long-term customer advocacy.
• Innovation: Perform and guide R&D topics in the field of applied machine learning and AI.
• Cross-functional Collaboration: Collaborate with sales, support, product management, and engineering to align strategy, improve customer outcomes, resolve escalations, find sales opportunities, and provide product roadmap input.
• Education and Community: Actively engage with your customers in the Spotfire community to drive adoption and enablement. Contribute relevant industry and data science content. Represent the team as a speaker or instructor in industry events and external conferences.
• Personal Development: Continue to develop expertise and monitor trends in industry analytics and visual data science tools and techniques.
• Organizational Impact: Achieve operational targets with major impact on the departmental results.
• Leadership and Talent Management: Some level of coaching and training of other employees within the job area will be involved.

Qualifications:

• 6-8+ years of data science experience using software environments and programming languages.
• 6-8+ 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.
• 6-8+ years of experience in applying analytics to the sector specific data problems in key Industry such as Manufacturing, Energy, Transportation & Logistics, Financial Services, Telecommunications and Life Sciences.
• Excellent communication and relationship-building skills are essential, including the ability to pro-actively influence and cultivate long-term relationships with internal and external stakeholders.
• Master's or higher degree in STEM with graduate classes in statistics and data mining.
• Proficiency in English is required. As this role involves interaction with customers and partners in Latin America, fluency in either Spanish or Portuguese is a plus.

Benefits: Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan.