What is a Data Science Project Manager?
A Data Science project manager typically oversees projects. Project management involves planning, executing, completing, and supervising projects. Traditional project managers focus on projects and their delivery, the budget they should use. They attempt to pan out everything to avoid any discrepancies during implementation. Project management in agile terms focuses on the creation of significant value to the project using continuous feedback and quick development cycles.
Let us now understand what data science is. Data science is a field that doesn’t necessarily have a standard definition but in general, it is a field that leverages scientific principle to get strategies from data, it includes computer science, hacking skills, statistics, mathematics, and domain knowledge.
The Project Manager role in Data Science
Data science is often misunderstood even though it seems exciting at first. It can impact many industries in our daily lives. Organizations often struggle to implement effective project management practices in data science. That’s where the role of a data science project manager comes into play. A Project Manager in Data Science can help drive success by applying just the right amount of expertise in data science projects.
In this article, we will delve into the role of a project manager in data science and explore how they can contribute to the successor data-driven initiatives.
Table of Content
- What is a Data Science Project Manager?
- The Role of a Project Manager in Data Science
- Applying Core Project Management Principles to Data Science
- Skills Required for a Data Science Project Manager
- Comprehensive Guide to Data Science Project Manager
- Best Practices for Data Science Project Management
- Data Science Project Manager Salary and Job Outlook in India
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