![]() ![]() The typical responsibilities for data scientists and data engineers vary according to the size and maturity of the company, and the size of its data science team. ![]() Typical responsibilities of data scientists vs data engineers These so-called “full stack” data scientists are quite a rarity. However, as technologies used in the two fields are very different, and very fast moving, so it’s unusual to find a single individual who is truly an expert in both areas. Some companies, especially those with smaller data teams, will expect their data scientists to have some data engineering skills. They often move into the field from data analyst positions, but use more advanced statistical techniques, including ML, deep learning, and AI.Įven though most data scientists are expected to perform some data engineering tasks, the roles of data scientists are quite different and the things they need to know and do are miles apart. What is a data scientist?ĭata scientists understand business data, mine data for insights, and create statistical and predictive models to help improve the businesses in which they work through in-depth data analysis. They’re experts in handling raw data, cleaning it to ensure it’s in the right format for the data scientists to use in their machine learning models, and are experienced in setting up the data infrastructure, data warehouses, big data or cloud platforms used to let stakeholders utilise the machine learning or artificial intelligence models in production. They handle everything from creating data pipelines that move data from one system to another, to deploying machine learning models so they can be used in production.ĭata engineers ensure that data scientists can focus on doing what they’re best at, instead of trying to be part-time data engineers, and performing tasks that are outside their comfort zone and their area of specialist knowledge. They architect, develop, and maintain the systems data scientists need. Data engineer vs data scientist What is a data engineer?ĭata engineers are essentially “devops” for data science teams. In this article, I’ll explain how data scientists and data engineers differ, and explain why most companies really need staff in both positions on their data team. However, many people (including some hiring managers) still don’t understand the important differences between data scientists and data engineers, or what skills to expect from job candidates. In the UK, the average salary for both data engineers and data scientists with just a few years’ experience is well over £50K, with senior roles often in the low six figures. The growing need for data engineers, as well as data scientists, means that increased demand is pushing salaries even higher, making the two positions among the most highly paid in the sector. ![]()
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