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Our global Field R&D team is a central part of the company strategy. The team focuses on applied innovation, customer needs, and the community of data scientists. A portion of the team’s creations will end up in our products to scale its impact. The team is responsible for enabling our client’s competitiveness by improving ROI from their investment in Spotfire.
Job Responsibility:
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
Tool Kit Development: create demos and templates with data science libraries
Technical marketing: 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
Participate in technical customer engagements through understanding Spotfire use cases, providing guidance, and building prototypes
Collaborate with stakeholders on specific industry knowledge, analytics use cases and customer stories related to data science or machine learning in the Energy sector
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 industry verticals such as Energy, Manufacturing, or similar
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, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders
Strong problem-solving skills, with the ability to identify key areas for improvement and develop data-driven solutions to address them
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 have:
Experience with other software components for data preparation and integration e.g. Data Virtualization and Big Data tools such as Snowflake or Databricks and/or further programming or scripting environments e.g. .Net, Java, IronPython, Javascript, C++ is a plus
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