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11 months monthsView ProgramHomeResourcesData Science & Business AnalyticsData Scientist Job Description: Role, Responsibilities & SkillsData Scientist Job Description: Role, Responsibilities & SkillsBy SimplilearnShare This Article:Last updated on Aug 26, 2024108242Table of ContentsData Scientist Job DescriptionData Scientist Roles and Responsibilities: What Does a Data Scientist Do?Data Scientist SkillsHow to Become a Data ScientistHow Much Do Data Scientists Make?Data Scientist Career PathChoose the Right Data Science ProgramBecome a Data Scientist Today FAQs

The data scientist is a relatively new key player in organizations — a new breed of analytical data experts. They are part mathematicians, part computer scientists, and they rule the world of big data. Businesses today are wrestling with volumes of unstructured information that’s a virtual gold mine, which can help boost revenue when unearthed. But they really need professionals who can dig in and find valuable business insights, sifting through the useless chaff and finding the precious nuggets of data. That is what the data scientist does; that is why they are highly sought after and well paid.

Whether it’s the thrill of problem-solving or the hefty paychecks, the perks of being a data scientist are luring many IT professionals to take this career path. If you’re one of them, this article has everything you need to know about how to be a data scientist.

Today, we’re covering the data scientist job description — what is a data scientist, what does a data scientist do, the qualifications for a data scientist, the data scientist roles and responsibilities, data scientist skills, how to be a data scientist, data scientist requirements, and the data scientist career path.

Data Scientist Job Description

A Data Scientist is a professional who collects large amounts of data using analytical, statistical, and programmable skills. It is their responsibility to use data to develop solutions tailored to meet the organisation's unique needs.

Organizations are increasingly using more and more data in their everyday operations. A data scientist interprets the raw data and extracts valuable meaning out of it. They then use this information to find patterns and develop solutions that an organization needs to grow and compete.

Wondering what exactly constitutes the job of a data scientist? Well, no points for guessing, a day of a data scientist revolves around - as the job title suggests - data and data everywhere.

Watch this video to learn more about the roles and responsibilities of a data scientist now

The data scientist job description involves fetching information from various sources and analyzing it to get a clear understanding of how an organization performs. The scientist uses statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges. After interpreting the data, they present the results in a clear and interesting way. The objective is to help the organization analyze trends to make better decisions. Thus, a good data scientist needs to have the right combination of technical, analytical, and communication skills.

In order to understand the data scientist role, let’s first understand that the data scientist position has evolved and expanded from the data analyst job position.

Both the data analyst and data scientist organize and analyze big data within an organization. But the data scientist has the additional role of using business sense and communication skills to influence how the organization tackles business challenges.

Data scientists combine practical skills like coding and math with the ability for statistical analysis to achieve results. For instance, a data scientist working for a social networking site might analyze the types of pages users ‘Like’ and, based on that, decide what kind of advertisements users will see upon logging into their account.

Data Scientist Roles and Responsibilities: What Does a Data Scientist Do?

Data scientist roles and responsibilities include:

- Data mining or extracting usable data from valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out the preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner
- Propose solutions and strategies to tackle business challenges
- Collaborate with Business and IT teams

**Job Types**: Full-time, Permanent, Fresher

Pay: ₹13,086.00 - ₹25,586.32 per month

**Benefits**:

- Health ins

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