Customer Success Lead Data Scientist - Energy Industry Expert

cloud software group•Texas - Home Office, TX

12d•$151,843 - $227,765•Hybrid

About The Position

Spotfire, a business unit of Cloud Software Group, is seeking a Customer Success Lead Data Scientist with Energy Industry expertise to join their team in the NAM region, with a 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.

Requirements

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, and for program languages Python, R.
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 are essential, including the ability to proactively influence and cultivate long-term relationships with internal and external stakeholders, such as customers' senior technical personnel.
Must provide compelling software demonstrations and apply domain knowledge to analytical applications, communicating complex technical concepts to non-technical audiences using storytelling.
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 or higher degree in STEM (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.
Must have full working rights for North America.

Nice To Haves

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.
Fluency in Spanish is a plus.
If on a work permit or visa, please make sure the details along with expiry date are included on your application.

Responsibilities

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.
Be aware of industry context and understand customer needs through regular customer health assessments to build consultative relationships and act as a trusted advisor helping navigate challenges and building long-term customer advocacy.
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.
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.
Actively engage with 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.
Continue to develop expertise and monitor trends in industry analytics and visual data science tools and techniques.
Work to achieve operational targets with major impact on the departmental results and work is performed with limited oversight.
Provide coaching and training of other employees within the job area.