Field R&D Lead Data Scientist - Industrial Focus

Cloud-•Denver, CO

22d•$149,665 - $224,497•Remote

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: Majority of the top 10 Energy companies in the world Majority of the top 10 Life Sciences companies in the world 7 of the world's top 10 Manufacturing companies Several other major companies in banking, retail, and airlines We're looking for people with a passion to make a big difference by doing the job they love - dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment. Overview 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. Operating across several sectors, our Field R D Data Scientists have helped improve the drilling operations of several energy companies, built solutions for reducing fraud in financial trading, worked with NASA medical teams, helped increase yields at some of the biggest semiconductor companies, and initiated changes in California traffic laws. We are looking for a Field R D Lead Data Scientist with experience in industry verticals such as Energy, Manufacturing, or similar to join our team. The right candidate is seeking an opportunity to deliver hands-on prowess and thought leadership to grow our customer's analytical capabilities with Spotfire. You will join a team of highly collaborative individuals as a key team member and play a significant role in developing our capabilities. You will lead field-inspired R D projects, represent the company at industry events and contribute to the active customer and partner community. You will participate in technical customer engagements by developing analytical deliverables using methods from exploratory analytics to machine learning, statistical modeling, and AI. You will see R D projects through its inception, design, deployment, customer feedback, and publication.

Requirements

5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications.
Experience with applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources.
5+ years of experience in applying analytics to industry verticals such as Energy, Manufacturing, or similar.
Superior communication and storytelling skills with data. The ability to comfortably communicate with customers' senior industry personnel, provide compelling presentations and demonstrations of analytics software, and the business value of analytics projects demonstrating domain knowledge in a key Industry such as Manufacturing, Energy, Telecommunications, Financial Services, Healthcare, or Retail.
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 Haves

Some experience with other software environments e.g. Spotfire, Tableau, Qlikview, SPSS, KNIME, Azure, AWS and/or other data mining tools will be a plus.
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.

Responsibilities

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. Example topics of research and projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes.
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