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)
McLeod Software, a leading innovator in the transportation industry, seeks a seasoned and results-oriented Product Manager to champion the development and growth of our data science and AI products. You will play a pivotal role in translating business needs into actionable product strategies, driving the execution of product roadmaps, and ensuring our AI solutions deliver tangible value to our users.
Responsibilities
Qualifications
Education/Experience
Bachelor's degree in Business Administration, Computer Science, Engineering, Data Science, or a related field, preferably with a focus on Software Development.
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