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

Are you a seasoned data scientist with a passion for driving business growth and customer success in the High Tech Manufacturing sector? Do you have a knack for developing innovative solutions using advanced analytics and machine learning techniques? If so, we invite you to join our dynamic team at blithequark as a Customer Success Lead Data Scientist. **About blithequark** blithequark is a leading provider of cloud-based software solutions, empowering businesses to achieve their digital destinations by interconnecting everything in real-time and providing visual data science for everyone. With over 10,000 customers worldwide, including the majority of the top 10 Energy, Life Sciences, and Manufacturing companies, we are committed to delivering exceptional customer experiences and driving business success. **Our Global Customer Success – Data Science Team** Our Customer Success – Data Science team is a central part of blithequark's strategy, focusing on customers, innovation, and the community of data scientists. As a key member of this team, you will play a significant role in developing our capabilities and delivering hands-on prowess and thought leadership to grow our customers' analytical capabilities with blithequark. **Responsibilities** As a Customer Success Lead Data Scientist, you will be responsible for: * Leading technical customer engagements through understanding blithequark 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, demos, and templates with data science libraries. * Creating technical marketing content, such as white papers, blogs, and content for the blithequark user community. * Representing the team as a speaker or instructor in industry events and external conferences. **Essential 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. * Experience with 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 demonstrate 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. 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** * 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 be a plus. **Compensation and Benefits** blithequark offers a competitive compensation package, including: * Salary: $149,665-$224,497 (General State range), $172,114-$258,172 (NY), $179,598-$269,396 (CA) * Annual bonus and sales incentives * Access to healthcare, life insurance, and disability benefits * 401(k) plan and company match * Other benefits may vary depending on the nature of your employment with blithequark and the country where you work. **Work Environment and Company Culture** blithequark is a dynamic and innovative company that values passion for technology and the courage to take risks. We empower our team members to learn, dream, and build the future of work. Our company culture is built on collaboration, creativity, and a commitment to delivering exceptional customer experiences. **How to Apply** If you are a motivated and experienced data scientist with a passion for driving business growth and customer success in the High Tech Manufacturing sector, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. **Equal Employment Opportunity** blithequark is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to compliance with all federal, state, and local laws that prohibit employment discrimination. Apply for this job