What Are the Roles and Responsibilities of a Data Scientist? Last Updated : 08 Dec, 2020 Comments Improve Suggest changes Like Article Like Report In the world of data space, the era of Big Data emerged when organizations are dealing with petabytes and exabytes of data. It became very tough for industries for the storage of data until 2010. Now when the popular frameworks like Hadoop and others solved the problem of storage, the focus is on processing the data. And here Data Science plays a big role. Nowadays the growth of data science has been increased in various ways and one should be ready for the future by learning what data science is and how can we add value to it. Data science means different things for different people, but at its gist, data science is using data to answer questions. This definition is a moderately broad definition, and that’s because one must say data science is a moderately broad field! Data science is the science of analyzing raw data using statistics and machine learning techniques with the purpose of drawing conclusions about that information. So after knowing what data science is and the key pillars of data science, but something else we need to talk about is who precisely a data scientist is? An Economist Special Report says that a data scientist is defined as someone: “who integrates the skills of software programmer, statistician and storyteller slash artist to extract the nuggets of gold hidden under mountains of data” But in reality, there are many questions that arise. Some important questions are: what's the role of a data scientist? What's the responsibility of a data scientist? How data scientists are different from data analysts and data engineers? So let's discuss these types of questions to understand who is a data scientist in detail? Roles & Responsibilities of a Data ScientistManagement: The Data Scientist plays an insignificant managerial role where he supports the construction of the base of futuristic and technical abilities within the Data and Analytics field in order to assist various planned and continuing data analytics projects.Analytics: The Data Scientist represents a scientific role where he plans, implements, and assesses high-level statistical models and strategies for application in the business’s most complex issues. The Data Scientist develops econometric and statistical models for various problems including projections, classification, clustering, pattern analysis, sampling, simulations, and so forth.Strategy/Design: The Data Scientist performs a vital role in the advancement of innovative strategies to understand the business’s consumer trends and management as well as ways to solve difficult business problems, for instance, the optimization of product fulfillment and entire profit.Collaboration: The role of the Data Scientist is not a solitary role and in this position, he collaborates with superior data scientists to communicate obstacles and findings to relevant stakeholders in an effort to enhance drive business performance and decision-making.Knowledge: The Data Scientist also takes leadership to explore different technologies and tools with the vision of creating innovative data-driven insights for the business at the most agile pace feasible. In this situation, the Data Scientist also uses initiative in assessing and utilizing new and enhanced data science methods for the business, which he delivers to senior management of approval.Other Duties: A Data Scientist also performs related tasks and tasks as assigned by the Senior Data Scientist, Head of Data Science, Chief Data Officer, or the Employer.Difference Between Data Scientist, Data Analyst, and Data EngineerData Scientist, Data Engineer, and Data Analyst are the three most common careers in data science. So let's understand who's data science by comparing it with its similar jobs. Data Scientist Data Analyst Data Engineer The focus will be on the futuristic display of data. The main focus of a data analyst is on optimization of scenarios, for example how an employee can enhance the company’s product growth.Data Engineers focus on optimization techniques and the construction of data in a conventional manner. The purpose of a data engineer is continuously advancing data consumption.Data scientists present both supervised and unsupervised learning of data, say regression and classification of data, Neural networks, etc.Data formation and cleaning of raw data, interpreting and visualization of data to perform the analysis and to perform the technical summary of data.Frequently data engineers operate at the back end. Optimized machine learning algorithms were used for keeping data and making data to be prepared most accurately.Skills required for Data Scientist are Python, R, SQL, Pig, SAS, Apache Hadoop, Java, Perl, Spark.Skills required for Data Analyst are Python, R, SQL, SAS.Skills required for Data Engineer are MapReduce, Hive, Pig Hadoop, techniques.Some Inspiring Data ScientistsThe variety of areas in which data science is used is embodied by looking at examples of data scientists. Hilary Mason: She is the co-founder of Fast Forward labs, a machine learning company recently owned by Cloudera, a data science company. She is a Data Scientist at Accel. Broadly, she works with data to solve questions about mining the web and also learning the method that how people communicate with each other through social media. Nate Silver: He is one of the most prominent data scientists or statisticians in the world today. He is the founder of FiveThirtyEight. FiveThirtyEight is a website that applies statistical analysis to tell compelling stories about elections, politics, sports, science, and lifestyle. He utilizes huge amounts of public data to predict a diversity of topics; most prominently he predicts who will win elections in the U.S. and has an extraordinary track record for accuracy in doing so. Daryl Morey: He is the general manager of a US basketball team, the Houston Rockets. He was awarded the job as GM based on his bachelor’s degree in computer science and his M.B.A. from M.I.T. Comment More infoAdvertise with us Next Article Top 10 Data Science Job Profiles A AmiyaRanjanRout Follow Improve Article Tags : Technical Scripter Data Science AI-ML-DS Blogs AI-ML-DS Technical Scripter 2020 data-science +2 More Similar Reads Data Science Tutorial Data Science is a field that combines statistics, machine learning and data visualization to extract meaningful insights from vast amounts of raw data and make informed decisions, helping businesses and industries to optimize their operations and predict future trends.This Data Science tutorial offe 3 min read Fundamental of Data ScienceWhat is Data Science?Data science is the study of data that helps us derive useful insight for business decision making. Data Science is all about using tools, techniques, and creativity to uncover insights hidden within data. It combines math, computer science, and domain expertise to tackle real-world challenges in a 8 min read What Are the Roles and Responsibilities of a Data Scientist?In the world of data space, the era of Big Data emerged when organizations are dealing with petabytes and exabytes of data. It became very tough for industries for the storage of data until 2010. Now when the popular frameworks like Hadoop and others solved the problem of storage, the focus is on pr 5 min read Top 10 Data Science Job ProfilesData Science refers to the study of data to extract the most useful insights for the business or the organization. It is the topmost highly demanding field world of technology. Day by day the increasing demand of data enthusiasts is making data science a popular field. Data science is a type of appr 8 min read Applications of Data ScienceData Science is the deep study of a large quantity of data, which involves extracting some meaning from the raw, structured, and unstructured data. Extracting meaningful data from large amounts usesalgorithms processing of data and this processing can be done using statistical techniques and algorit 6 min read Data Science vs Data AnalyticsIn this article, we will discuss the differences between the two most demanded fields in Artificial intelligence that is data science, and data analytics.What is Data Science Data Science is a field that deals with extracting meaningful information and insights by applying various algorithms preproc 3 min read Data Science Vs Machine Learning : Key DifferencesIn the 21st Century, two terms "Data Science" and "Machine Learning" are some of the most searched terms in the technology world. From 1st-year Computer Science students to big Organizations like Netflix, Amazon, etc are running behind these two techniques. Both fields have grown exponentially due t 5 min read Difference Between Data Science and Business IntelligenceWhile they have different uses, business intelligence (BI) and data science are both essential for making data-driven decisions. Data science is the study of finding patterns and forecasts through sophisticated analytics, machine learning, and algorithms. In contrast, the main function of business i 4 min read Data Science FundamentalsIn the world of data space, the era of Big Data emerged when organizations began dealing with petabytes and exabytes of data. It became very tough for industries the store data until 2010. Now, the popular frameworks like Hadoop and others have solved the problem of storage, the focus is on processi 15+ min read Data Science LifecycleData Science Lifecycle revolves around the use of machine learning and different analytical strategies to produce insights and predictions from information in order to acquire a commercial enterprise objective. The complete method includes a number of steps like data cleaning, preparation, modelling 6 min read Math for Data ScienceData Science is a large field that requires vast knowledge and being at a beginner's level, that's a fair question to ask "How much maths is required to become a Data Scientist?" or "How much do you need to know in Data Science?". The point is when you'll be working on solving real-life problems, yo 5 min read Programming Language for Data SciencePython for Data Science - Learn the Uses of Python in Data ScienceIn this Python for Data Science guide, we'll explore the exciting world of Python and its wide-ranging applications in data science. We will also explore a variety of data science techniques used in data science using the Python programming language. We all know that data Science is applied to gathe 6 min read R Programming for Data ScienceR is an open-source programming language used statistical software and data analysis tools. It is an important tool for Data Science. It is highly popular and is the first choice of many statisticians and data scientists.R includes powerful tools for creating aesthetic and insightful visualizations. 13 min read SQL for Data ScienceMastering SQL (Structured Query Language) has become a fundamental skill for anyone pursuing a career in data science. As data plays an increasingly central role in business and technology, SQL has emerged as the most essential tool for managing and analyzing large datasets. Data scientists rely on 7 min read Complete Data Science ProgramData Science TutorialData Science is a field that combines statistics, machine learning and data visualization to extract meaningful insights from vast amounts of raw data and make informed decisions, helping businesses and industries to optimize their operations and predict future trends.This Data Science tutorial offe 3 min read Learn Data Science Tutorial With PythonData Science has become one of the fastest-growing fields in recent years, helping organizations to make informed decisions, solve problems and understand human behavior. As the volume of data grows so does the demand for skilled data scientists. The most common languages used for data science are P 3 min read Data Analysis tutorialData Analysis (Analytics) TutorialData Analytics is a process of examining, cleaning, transforming and interpreting data to discover useful information, draw conclusions and support decision-making. It helps businesses and organizations understand their data better, identify patterns, solve problems and improve overall performance. 4 min read Data Analysis with PythonData Analysis is the technique of collecting, transforming and organizing data to make future predictions and informed data-driven decisions. It also helps to find possible solutions for a business problem. In this article, we will discuss how to do data analysis with Python i.e. analyzing numerical 15+ min read Data analysis using RData Analysis is a subset of data analytics, it is a process where the objective has to be made clear, collect the relevant data, preprocess the data, perform analysis(understand the data, explore insights), and then visualize it. The last step visualization is important to make people understand wh 9 min read Top 80+ Data Analyst Interview Questions and AnswersData is information, often in the form of numbers, text, or multimedia, that is collected and stored for analysis. It can come from various sources, such as business transactions, social media, or scientific experiments. In the context of a data analyst, their role involves extracting meaningful ins 15+ min read Data Vizualazation TutotrialPython - Data visualization tutorialData visualization is a crucial aspect of data analysis, helping to transform analyzed data into meaningful insights through graphical representations. This comprehensive tutorial will guide you through the fundamentals of data visualization using Python. We'll explore various libraries, including M 7 min read Data Visualization with PythonIn today's world, a lot of data is being generated on a daily basis. And sometimes to analyze this data for certain trends, patterns may become difficult if the data is in its raw format. To overcome this data visualization comes into play. Data visualization provides a good, organized pictorial rep 14 min read Data Visualization in RData visualization is the practice of representing data through visual elements like graphs, charts, and maps. It helps in understanding large datasets more easily, making it possible to identify patterns and trends that support better decision-making. R is a language designed for statistical analys 5 min read Machine Learning TutorialMachine Learning TutorialMachine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. In simple words, ML teaches the systems to think and understand like humans by learning from the data.Machin 5 min read Maths for Machine LearningMathematics is the foundation of machine learning. Math concepts plays a crucial role in understanding how models learn from data and optimizing their performance. Before diving into machine learning algorithms, it's important to familiarize yourself with foundational topics, like Statistics, Probab 5 min read 100+ Machine Learning Projects with Source Code [2025]This article provides over 100 Machine Learning projects and ideas to provide hands-on experience for both beginners and professionals. Whether you're a student enhancing your resume or a professional advancing your career these projects offer practical insights into the world of Machine Learning an 5 min read Top 50+ Machine Learning Interview Questions and AnswersMachine Learning involves the development of algorithms and statistical models that enable computers to improve their performance in tasks through experience. Machine Learning is one of the booming careers in the present-day scenario.If you are preparing for machine learning interview, this intervie 15+ min read Machine Learning with RMachine Learning is a growing field that enables computers to learn from data and make decisions without being explicitly programmed. It mimics the way humans learn from experiences, allowing systems to improve performance over time through data-driven insights. This Machine Learning with R Programm 3 min read Deep Learning & NLP TutorialDeep Learning TutorialDeep Learning tutorial covers the basics and more advanced topics, making it perfect for beginners and those with experience. Whether you're just starting or looking to expand your knowledge, this guide makes it easy to learn about the different technologies of Deep Learning.Deep Learning is a branc 5 min read 5 Deep Learning Project Ideas for BeginnersWell, irrespective of our age or domain or background knowledge some things succeed in fascinating us in a way such that we're so motivated to do something related to it. Artificial Intelligence is one such thing that needs nothing more than just a definition to attract anyone and everyone. To be pr 6 min read Deep Learning Interview QuestionsDeep learning is a part of machine learning that is based on the artificial neural network with multiple layers to learn from and make predictions on data. An artificial neural network is based on the structure and working of the Biological neuron which is found in the brain. Deep Learning Interview 15+ min read Natural Language Processing (NLP) TutorialNatural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that helps machines to understand and process human languages either in text or audio form. It is used across a variety of applications from speech recognition to language translation and text summarization.Natural Languag 5 min read Top 50 NLP Interview Questions and Answers 2024 UpdatedNatural Language Processing (NLP) is a key area in artificial intelligence that enables computers to understand, interpret, and respond to human language. It powers technologies like chatbots, voice assistants, translation services, and sentiment analysis, transforming how we interact with machines. 15+ min read Computer Vision TutorialComputer Vision TutorialComputer Vision is a branch of Artificial Intelligence (AI) that enables computers to interpret and extract information from images and videos, similar to human perception. It involves developing algorithms to process visual data and derive meaningful insights.Why Learn Computer Vision?High Demand i 8 min read 40+ Top Computer Vision Projects [2025 Updated]Computer Vision is a branch of Artificial Intelligence (AI) that helps computers understand and interpret context of images and videos. It is used in domains like security cameras, photo editing, self-driving cars and robots to recognize objects and navigate real world using machine learning.This ar 4 min read Why Data Science Jobs Are in High Demand Jobs are something that can help you enable your disabled dreams. This is why many aspirants, who fail to achieve milestones in their businesses in one go, prefer to apply for that job they can pursue. With the same context, you need to know that Data Science jobs are trending in this pandemic era t 6 min read Like