Data Science Manager manages teams tasked with identifying trends, patterns, and anomalies found in big data sets and used to develop insights by performing extensive data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. Uses extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools. Additionally, Data Science Manager typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to senior management. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes. (Copyright 2024 Salary.com)
Slip Robotics is a pioneering Series A startup leading innovation in the field of robotics and automation. Specializing in the development of autonomous mobile robots for the efficient loading and unloading of semi-trailers, we partner with top automotive manufacturers and e-commerce giants. Our cutting-edge solutions are reshaping the logistics and freight industries.
We are seeking a skilled and experienced Senior Systems Engineer to enhance the capabilities of our robotic fleet. In this role, you will analyze data from our robots, develop monitoring tools, and collaborate with various teams to refine our systems. This position requires a blend of technical expertise, analytical skills, and collaborative abilities.