Customer Success Lead Data Scientist

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.

Operating across several sectors, our Customer Success Data Scientists have helped improve the drilling operations of several energy companies, increase yield at some of the biggest semiconductor companies and ensured on-time deliveries of well known global logistics companies.

We are seeking a Customer Success Lead Data Scientist with Energy Industry expertise to join our team in the NAM region with preference for Houston, TX or Colorado. We will not consider hiring for this role in California or New York. This role is ideal for a candidate with proven expertise in Industry Analytics 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. A key part of the role involves developing analytical deliverables, employing methods from exploratory analytics to machine learning, statistical modeling, and AI.

Joining a highly collaborative team, you will deliver outcomes that enhance both product and account health. Furthermore, you will have exciting opportunities to represent Spotfire at industry events and contribute to our active customer and partner community.

* Technical Strategy - 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. Customer Success plans include onboarding, adoption, monitoring support, managing upgrades, enabling new features, and establishing a center of excellence. * Trusted Advisor - Aware of industry context and understanding customer needs through regular customer health assessments you can build consultative relationships and act as 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. Translate customer business goals into technical objectives and help create custom solutions for industry use cases, providing guidance, and building prototypes. Projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes.  * 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. This involves gathering detailed information, analysis, and investigation to address numerous, often undefined, problems and requests. * 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 - works to achieve operational targets with major impact on the departmental results and work is performed with limited oversight. * Leadership and Talent Management - Some level of coaching and training of other employees within the job area will be involved.