10 Data science Resume Keywords Recruiters Like

Data science is a rapidly growing field, and recruiters are always on the lookout for qualified candidates. If you're a data scientist looking for a new job, it's important to make sure your resume is tailored to the specific keywords that recruiters are using.

Data science

The field of data science combines computer science, statistics, and mathematics to extract knowledge and insights from data.

Machine learning

Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed to do so.


Python is a general-purpose programming language that is widely used in data science for tasks such as data analysis, machine learning, and data visualization.


R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.


SQL (Structured Query Language) is a programming language designed for managing data held in a relational database management system (RDBMS).

Big data

Big data refers to datasets that are so large or complex that they are difficult to process using traditional data processing applications.


Statistics is the science of collecting, analyzing, interpreting, presenting, and organizing data.

Data mining

Data mining is the process of extracting knowledge and insights from large amounts of data.

Data visualization

Data visualization is the process of creating visual representations of data to communicate insights.

Cloud computing

Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, intelligence, and the Internet of Things (IoT)—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.

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