数据科学家与软件工程师之间的区别

1.数据科学家：
数据科学家是一位专业的分析数据专家，他具有解决复杂问题的技术能力，并且还能找到发现真正需要解决的问题的方法。他们负责收集数据，检查数据并为大量数据提供解释，以发现有助于和改善运营的独特方法，从而获得超越竞争对手的竞争优势。

他们通过处理记录的历史记录来解释正在发生的事情，并且他们还使用一系列高级机器学习算法来发现将来发生的事件的发生率，这有助于通过这种预测性因果分析和规范性分析来进行选择和预测商业企业和运营。对于此过程，数据科学家似乎必须从多个角度入手信息。

2.软件工程师：
软件工程师是指具有专业知识的人，并且在软件程序的设计，开发，测试，维护和评估的所有阶段均采用严格的结构化软件工程标准，从而避免了软件程序产品的低质量。

数据科学家和软件工程师之间的区别：

S.No.	Data Scientist	Software Engineer
1.	They analyze and manage large amounts of data that are coming from different areas by suggesting solution for them.	They understand needs and requirements of their clients and deliver product without errors to end-users.
2.	They follow similar approach to ETL process.	The base for Software engineers for developing any software is SDLC or Software Development Lifecycle.
3.	They follow Process Oriented approach to deal with data.	They deal with Framework Oriented or methodology Oriented approach to make software products.
4.	For dealing with data, they use various tools like Data visualization tools, Data Analysis tools and DB tools, etc.	They use different tools in making software such as Testing Tools, Design Tools, Programming Languages Tools, Project Management tools, Web application Tools, etc.
5.	Big data, Hadoop, Map Reduce, Apache spark, are main environment for them to analyze data.	They need different environments and platforms for building software products such as Code development environment, Developing Programming, Testing & Maintenance environment.
6.	They need to analyze data for processing tasks.	They need to analyze user needs and requirements.
7.	The sources of data for them including data from websites, data from Social Media, Transactions, Sensor Data, etc.	Their sources of data including understanding and collecting data from their clients, User requirements, any new features developments.