Lead Data Scientist

Data ScientistResponsible for leading and developing end to end analysis and data products, ranging from descriptive analysis to machine learning predictive algorithms. Work with product and business strategy teams to understand data product and visualization requirements. Communicate results to stakeholders, bridging analytics knowledge and engineering domain/business knowledge. Lead, develop, and document data-driven models and analytics for connected refrigeration and mobile HVAC systems. Analysis may include specific components. Determine appropriate methods, prove viability of selected method, and educate internal teams as to the analytical foundation. Develop and maintain well documented analytics that are reproducible by others. Combine several sources of large-scale product data with both internal and external data sources to solve engineering and business analytic needs. Predictive failure analytics for units. Test and evaluate the quality of the algorithms using statistical methods. Develop and document data workflows to enable data extraction and merging of disparate data sets. Manage projects from start to finish, with implementation into a production environment as appropriate. Collaborate with engineers and other data scientists to solve problems and develop new products and services. Stay up to date in the field of machine learning. Apply new technologies in development of products. Responsible for developing deliverables that are production capable including scalable and automation. 20% WFH is allowed on Fridays only.Minimum Education RequiredBachelor's degree (or foreign equivalent) in Mechanical Engineering, Industrial Engineering or a closely related engineering field.Minimum Experience Required5 years' experience as a Data Scientist.First (Day)1$153,670.00 - $185,040.00 / Annually55420Full TimeHybridKJStandard company benefits.Email CV to View email address on click.appcast.io & reference Job ID# KJ.