Data Science Jobs

Data Science is the analysis of large amounts of data to improve the functioning of a business. A Data Science professional extracts meaningful insights from data and helps businesses in better decision-making.

Data Scientist jobs are expected to grow 35% from 2022 to 2032, according to the US Bureau of Labor Statistics. It is much faster than the average for all occupations. To help the talent meet the demand, Tutorials Point has designed a New Job Search feature that puts the right jobs in front of the right people.

Find Jobs in Data Science

From entry-level Data Science jobs to remote Data Science jobs you can find all the specific Data Science positions on the dedicated page part of the Job hunt portal by Tutorials Point.

The all-new Job Search by Tutorials Point is the new addition to Tutorials Point's user-centric platform. Empowering millions of learners with the best online courses and free text content, Tutorials Point has recently launched a job Search space for learners to apply for relevant jobs as soon as they master a technology.

The platform brings recruiters looking for best-suited profiles and aspirants looking for best-suited data science careers together. If you are a Data Science enthusiast, looking for high-paid Data Science work, you can explore relevant jobs posted around the world.

What does a Data Scientist do?

Data Science uses a multidisciplinary approach combining principles and practices of various fields. Mathematics, artificial intelligence, statistics, and computer science are used to analyze huge volumes of data.

Data Scientists extract data from multiple sources and analyze and interpret them to make better business decisions. They use algorithmic, statistical, artificial intelligence, machine learning, and data mining tools.

According to the US Bureau of Labor Statistics, the median pay of a Data Scientist was $103,500 per year in 2022. To become a high-paid Data Scientist there are a few Data Science skills you need to master. Read on the next section.

Skills Required to Get a Data Science Job

The following are the must-have skills required to land a Data Science Job:

Programming

Data Science professionals must be familiar with programming to sort, analyze, and manage large amounts of data. A Data Scientist must be able to work with:

• Python
• R programming
• SAS
• SQL

Data Wrangling and Database Management

Data Wrangling is the process of cleaning the raw data and organizing it for easy access and analysis. Database Management is the process of extracting data from various sources, transforming it into a suitable format, and loading it into a data warehouse system.

Statistics and Probability

Data Scientists use Statistics and Probability to predict trends and develop forecasts, establish a relationship between two data points, insert data points that are missing, and identify anomalies that exist in the data set. They also use these skills to make better recommendations.

Machine Learning

Data Scientists use Artificial Intelligence, Machine learning, and Deep Learning to perform complex calculations and identify patterns in data, preventing human error. Mastering these technologies also helps Data Scientists in developing workable algorithms and models, and analyze large sets of data. You can master Machine Learning from scratch to an advanced level with Advanced Certification in AI ML With Python And ChatGPT.

Data Visualization

Data Visualization skills help Data Scientists translate the data into visuals for their better understanding and the stakeholders. It gets easier for data scientists to see trends and patterns with relationship maps, 3D plots, bar charts, histograms, line plots, pie charts, etc.

Cloud Computing

Many organizations leverage the cloud for expanding their business operations and Data Scientists can also benefit from Cloud Computing as they analyze different types of data stored in the cloud. Data Scientists can also store, retrieve, and share data using the cloud.

MS Excel

Microsoft Excel is the most preferred tool by Data Scientists to form data listings. Excel assists Data Scientists in organizing their data with various functions and exporting the data to many other programs. Learn Data Science from scratch to the advanced level with Data Science Advanced Certification.

Soft Skills

Soft skills are the personal traits that are essential in any profession. Communication and resilience are important soft skills that help Data Science professionals in working with others and managing the workloads effectively.

Now that we have covered the crucial skills, let us look at the key roles and responsibilities of a Data Scientist.

Data Scientist Roles and Responsibilities

The typical roles and responsibilities of a Data Scientist are as follows:

• Data Scientists must be able to identify data sources, conduct data mining, or extract data from those sources.
• They must analyze huge amounts of structured and unstructured data.
• They should Clean, process, and validate the data for analysis.
• A Data Scientist must be skilled in solving business problems by developing strategies and solutions.
• Must be able to develop prediction systems and machine learning algorithms to discover trends and patterns.
• Should be able to develop analytics systems for the organization and enhance the data collection procedures.
• Must be able to present the data in a compelling way using various data visualization techniques.
• Boost the effectiveness and performance of the business by staying in tune with the latest trends in the industry and developments in tools and technologies.
• Must be skilled in developing, implementing, and monitoring data pipelines.

Top Data Science Job Positions

Let us look at some of the top Data Science positions and their average annual pay according to Glassdoor.

If you wish to land such a high-paid Data Science job, then make the most of Tutorials Point for learning Data Science, exploring relevant roles, applying, and landing your dream job, all in one place.