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

Join arenaflex, a global leader in cloud-based software solutions, as we revolutionize the way businesses operate and thrive in the digital age.

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 worldwide, including the majority of the top 10 Energy companies, Life Sciences companies, and Manufacturing companies, we're committed to helping businesses succeed in an increasingly complex and competitive landscape.

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 key member of this team, you'll play a significant role in developing our capabilities and delivering hands-on prowess and thought leadership to grow our customers' analytical capabilities with arenaflex. You'll join a team of highly collaborative individuals, working closely with other customer account team members to ensure customer success and 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.

Responsibilities

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

• Leading technical customer engagements through understanding arenaflex 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, including topics such as Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes.
• 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.
• Providing technical marketing support, creating white papers, blogs, and content for the arenaflex user community.
• Representing the team as a speaker or instructor in industry events and external conferences.

Required Qualifications

* 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, with experience in applying advanced analytics such as machine learning and optimization techniques to large, complex, and disparate data sources.
• 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, 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, with some experience with other software environments such as arenaflex, Tableau, Qlikview, SPSS, KNIME, Azure, AWS, and/or other data mining tools.
• 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

* Experience with other software components for data preparation and integration, such as Data Virtualization and Big Data tools such as Hadoop and Spark, and/or further programming or scripting environments such as .Net, Java, IronPython, Javascript, C++.

• 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.

Compensation and Benefits

arenaflex offers a competitive compensation package, including a base salary, annual bonus, and sales incentives, depending on the terms of the applicable plan and role as well as individual performance. Benefits may vary depending on the nature of your employment with arenaflex and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance, and disability benefits, a 401(k) plan, and company match.

Why Join arenaflex?

* Be part of a global leader in cloud-based software solutions, serving over 100 million users worldwide.

• Work with a talented team of individuals who are passionate about technology and innovation.
• Contribute to the development of cutting-edge solutions that are changing the way businesses operate and thrive in the digital age.
• Enjoy a dynamic and collaborative work environment, with opportunities for growth and professional development.
• Be part of a company that values diversity, inclusion, and equal employment opportunity.

How to Apply

If you're a dynamic and experienced data scientist with a passion for innovation and customer success, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. 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 creating an inclusive and respectful work environment, where all employees feel valued and empowered to contribute to our success. Apply for this job