Lead Customer Success Data Scientist

About the position

Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire empowers businesses to their digital destinations by interconnecting everything in real time and providing visual data science for everyone, from business users to data scientists. Our more than 10,000 customers include the majority of the top 10 Energy companies, Life Sciences companies, and Manufacturing companies in the world. We are looking for a Lead Customer Success Data Scientist with experience in the Energy sector to join our team. The right candidate will deliver hands-on prowess and thought leadership to grow our customer's analytical capabilities with Spotfire. You will lead client conversations, represent the company at industry events, and contribute to the active customer and partner community. You will lead technical customer engagements by developing analytical deliverables using methods from exploratory analytics to machine learning, statistical modeling, and AI.

Responsibilities

• Lead technical customer engagements through understanding Spotfire use cases, providing guidance, and building prototypes.
• Collaborate closely with other customer account team members to ensure customer success.
• Collaborate with stakeholders on specific industry knowledge, analytics use cases and customer stories related to data science or machine learning in the Energy sector.
• Delve deep into energy, manufacturing, or similar types of analytical and data science challenges.
• Engage with customers through presales support and post-sales success projects.
• Perform and guide R&D topics in the field of applied machine learning and AI.
• Create reusable data models, workflows and test suites in order to streamline project delivery.
• Provide input into product management and engineering for the product roadmap.
• Innovate in the areas of application and deployment of machine learning.
• Create demos and templates with data science libraries.
• Create white papers, blogs and content for the Spotfire user community.
• Represent the team as a speaker or instructor in industry events and external conferences.

Requirements

• 5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications.
• 5+ years of experience in applying analytics to the Energy sector problems.
• Superior communication and storytelling skills with data.
• Capability to formulate a real-world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solution, validate the results, and present the results to technical and non-technical stakeholders.
• 5+ years of experience with Python or R and some knowledge of SQL.
• Excellent communication and collaboration skills.
• Strong problem-solving skills.
• A Master's 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.

Nice-to-haves

• Experience with other software components for data preparation and integration e.g. Data Virtualization and Big Data tools such as Hadoop and Spark.
• A PhD in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining.

Benefits

• Access to healthcare
• Life insurance
• Disability benefits
• 401(k) plan and company match