Customer Success Lead Data Scientist

Role Description

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. 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.

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.
• 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. Translate customer business goals into technical objectives and help create custom solutions for industry use cases.
• Cross-functional Collaboration: Collaborate with sales, support, product management, and engineering to align strategy, improve customer outcomes, resolve escalations, and provide product roadmap input.
• Education and Community: Actively engage with customers in the Spotfire community to drive adoption and enablement. 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: Work to achieve operational targets with major impact on departmental results.
• Leadership and Talent Management: Involve some level of coaching and training of other employees within the job area.

Qualifications

• 6-8+ years of data science experience using software environments and programming languages (e.g., Spotfire, Tableau, Qlikview, SPSS, KNIME, Dataiku, Azure, AWS, Databricks, Snowflake).
• 6-8+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements, or deployed software applications.
• 6-8+ years of industry experience in applying analytics to the Energy sector specific data problems.
• Excellent communication and relationship-building skills.
• Collaboration skills - strong ability to work effectively in an internal and customer team environment.
• Bachelor or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study).
• Proficiency in English is required; fluency in Spanish is a plus.

Requirements

• Must have full working rights for North America.
• If on a work permit or visa, please include details along with expiry date in your application.

Benefits

• Access to healthcare, life insurance, and disability benefits.
• 401(k) plan and company match.
• Compensation may vary depending on location, qualifications, and experience.
• Eligible for additional rewards, including annual bonus and sales incentives.