Experienced Full Stack Data Scientist – High Tech Manufacturing Customer Success Lead

Join arenaflex, a leading global provider of cloud-based solutions, as we embark on a transformative journey to revolutionize the way businesses operate. As a seasoned Data Scientist with a passion for High Tech Manufacturing, you will play a pivotal role in driving customer success and growth within our esteemed organization.

About arenaflex

arenaflex is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Our mission is to empower businesses to reach their digital destinations by interconnecting everything in real-time and providing visual data science for everyone, from business users to data scientists. With over 10,000 customers across various industries, including Energy, Life Sciences, Manufacturing, and more, we are committed to delivering innovative solutions that drive business value.

Overview

Our global Customer Success – Data Science team is a central part of our company strategy, focusing on customers, innovation, and the community of data scientists. As a Lead Customer Success Data Scientist, you will join a team of highly collaborative individuals who are passionate about making a big difference in the world. You will play a key role in developing our capabilities, leading client conversations, and representing the company at industry events.

Responsibilities

As a Lead Customer Success Data Scientist, you will be responsible for:

• Leading technical customer engagements through understanding Spotfire use cases, providing guidance, and building prototypes, with a primary focus on the High Tech Manufacturing sector.
• Collaborating closely with other customer account team members to ensure customer success.
• Collaborating with stakeholders on specific industry knowledge, analytics use cases, and customer stories related to data science or machine learning in the High Tech Manufacturing sector.
• Delving deep into manufacturing, energy, or similar types of analytical and data science challenges.
• Engaging with customers through presales support and post-sales success projects.
• Performing and guiding R&D topics in the field of applied machine learning and AI.
• Creating reusable data models, workflows, and test suites to streamline project delivery.
• Providing input into product management and engineering for the product roadmap.
• Innovating in the areas of application and deployment of machine learning.
• Developing toolkits, creating demos and templates with data science libraries.
• Engaging in technical marketing, creating white papers, blogs, and content for the Spotfire user community.
• Representing the team as a speaker or instructor in industry events and external conferences.

Required Qualifications

To be successful in this role, you will need:

• 5+ years of experience in applying analytics to High Tech Manufacturing sector problems.
• 5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements, or deployed software applications.
• Superior communication and storytelling skills with data, with the ability to comfortably communicate with customers' senior industry personnel, provide compelling presentations, and demonstrations of analytics software.
• 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. Some experience with other software environments, such as Spotfire, Tableau, Qlikview, SPSS, KNIME, Azure, AWS, and/or other data mining tools, will be a plus.
• 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.

Desired Qualifications

While not required, experience with other software components for data preparation and integration, such as Data Virtualization and Big Data tools, and/or further programming or scripting environments, such as .Net, Java, IronPython, Javascript, C++, will be 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 will also be considered.

Compensation and Benefits

arenaflex offers a competitive compensation package, including:

• Salary: $149,665-$224,497 (General State range), $179,598-$269,396 (CA range), $172,114-$258,172 (NY range)
• Annual bonus and sales incentives
• Access to healthcare, life insurance, and disability benefits
• 401(k) plan and company match
• Opportunities for career growth and professional development

Work Environment and Culture

arenaflex is a dynamic and innovative organization that values passion for technology, courage to take risks, and a commitment to making a difference in the world. Our team is collaborative, diverse, and inclusive, with a strong focus on customer success and growth. We offer a flexible and remote-friendly work environment, with opportunities for professional development and growth.

How to Apply

If you are a seasoned Data Scientist with a passion for High Tech Manufacturing and a desire to make a big difference in the world, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, skills, and qualifications. We look forward to hearing from you!

Equal Employment Opportunity

arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to providing a workplace that is free from discrimination and harassment, and where all employees feel valued, respected, and supported. Apply for this job