Customer Success Data Scientist

Role Description

We are seeking a Senior Customer Success Data Scientist to join our team in the North America region. California is preferred, and we will consider US West Region; Arizona, Oregon, Washington. This role is ideal for a candidate with proven expertise in the High Tech Manufacturing Industry and a strong passion for Industrial AI and Analytics and 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.

Responsibilities

• 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 and support strategy, improve customer outcomes, help resolve escalations, find sales opportunities, and provide product roadmap input. This involves gathering and sharing 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 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 supervision.
• Leadership and Talent Management: Some level of coaching and training of other employees within the job area will be involved.

Qualifications

• 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 for 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.
• 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.
• Collaboration skills - strong ability to work effectively in an internal and customer team environment and to manage multiple projects to a good final outcome.
• 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.
• Language Skills: Proficiency in English is required. Fluency in Spanish or Portuguese is a plus.

Requirements

• You must have full working rights for the United States. If on a work permit or visa, please make sure the details along with expiry date are included on your application.

Benefits

• U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others.