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Your Ultimate Guide to Data Science Jobs in 2024

Data Science

Blog Date
February 15,
2023

In the ever-evolving world of technology, data science has emerged as one of the most sought-after career paths. With each passing year, the demand for skilled data science professionals continues to grow exponentially. As we look ahead to 2024, it’s clear that data science jobs will only become more prominent and vital in diverse industries.

If you’re a new graduate or someone looking to enter the exciting field of data science, you may be wondering about the job prospects and opportunities available to you. In this blog post, we’ll explore the world of data science jobs and provide valuable insights into what employers are looking for in candidates. From the skills and qualifications you’ll need to the various industries that are hiring data scientists, we’ll cover it all.

The rise of artificial intelligence and machine learning has led to an increased need for professionals who can make sense of vast amounts of complex data. From healthcare to finance, data science is revolutionizing how businesses operate and make informed decisions.

What is data science?

Data science is a method to help professionals combine statistical studies, high-level programming, machine learning, artificial intelligence, and advanced computational and analytical methods to discover trends and patterns in different datasets.

It’s like mapping an itinerary and executing the same to acquire hidden information for different datasets, including sales reports of the last six years, customer acquisition costs for the past months, and so on.

There are four major phases in a data science project lifecycle. To develop data science skills in 2024, professionals need to know these four phases, described in detail below.

  • The first phase is data ingestion, where raw unstructured and structured datasets are collected from several relevant sources using multiple collection methods. It can be web scraping, manual entry, data streams, or anything else. 
  • In the second phase, the data sets collected are perfectly stored and then sent for further processes. For instance, the datasets are structured according to the company protocols and filtered further to remove any irrelevant data in the entire set.
  • The third and most crucial phase is data analysis. In this step, data scientists implement myriad processes and tools to analyze structured datasets and generate reports, visuals, and forecasts. The models are primarily based on AI and machine learning to ensure the information is accurate, real-time based, and precise.
  • The final step of the data science lifecycle is communication. It means that data analysts communicate the reports or forecasts with other employees in that company, executives, stakeholders, and sometimes other third-party associations.

Understanding and knowing these four phases is crucial for a better data science career outlook in 2024. Besides, you can also know the part of the entire lifecycle you want to focus on in your career.

Is data science really a rising career?

Absolutely! Data science is indeed a rising career with immense potential. In today’s data-driven world, organizations across industries are recognizing the value of data and seeking professionals who can analyze and interpret it effectively. Data scientists play a crucial role in extracting insights from large amounts of data to drive decision-making, improve processes, and gain a competitive edge. With advancements in technology and the increasing availability of data, the demand for skilled data scientists is on the rise. It offers diverse opportunities for growth and innovation in various sectors such as finance, healthcare, e-commerce, marketing, and more. Along with traditional data science roles like data scientist and data analyst, the field also offers high-paying and reputable job positions like data architect and big data engineer. So, if you have an interest in analytics and problem-solving, pursuing a career in data science can be a promising choice.

What are the essential skills needed for a data science job?

The essential skills needed for a data science job include proficiency in programming languages like Python or R, statistical analysis and modeling, data visualization, machine learning algorithms, data cleaning and preprocessing, and strong problem-solving and analytical thinking abilities.

As data plays a crucial role in gaining valuable insights about business, market, customers, etc., the data science industry is predicted to grow with new trends in 2024 and beyond, especially in fields such as healthcare. It’s essential to be aware of these emerging trends to stay ahead in the job market and secure your future as a data scientist. Additionally, this knowledge provides you with a competitive advantage in the long term.

  • With big data applications currently on the rise, a new concept called ‘small data’ has recently emerged. Small data analytical methods are useful when resources such as bandwidth, time, and budget are limited. In these cases, smaller machine learning algorithms are employed to analyze a subset of the data, allowing for a deeper understanding to be gained from the dataset.
  • Once businesses get their reports, forecasts, and visual insights, they can leverage the information to implement data-driven CX. It gives them an upper hand in retaining customers at a higher rate and acquiring new customers without investing many resources in marketing and advertisements.
  • Artificial intelligence analytical models will also revolutionize business operations and bring many prospects for organizations. AI can make any process more accurate, precise, and relevant to human expertise. Therefore, the results obtained from an AI analytical model will have a few mistakes or errors.
  • Businesses now prefer to go beyond numbers and use textual content, reactions, and other elements such as data. For instance, analysts can know more about customer sentiments through textual information given in survey forms, feedback portals, and so on. It’s one of the primary reasons why data is considered the biggest asset for any company or business.

Top data science job roles in 2024

Data analyst 

Data Analysts currently have the highest data science salary in 2024. They are responsible for analyzing large datasets from various sources. 

They perform various tasks such as executing search and modification queries, understanding the data structure and the information it contains and selecting the right analytical model. Additionally, they must optimize their work and design algorithms to analyze the datasets without errors or inconsistencies.

Database Administrator

If you want to diversify your data science career outlook in 2024, being a database administrator is your best option. As the name suggests, you will be in charge of the database and ensure that all stored records are unique and flawless. 

You must also handle the database schemas, table views, and several other aspects. From running patch activities to database rebase and refresh, you will be responsible for keeping the database updated with new and structured information as an administrator.

Data Engineer

One of the best data science job opportunities in 2024 is to become a data engineer. You will have to work on various data types and design models using technologies such as artificial intelligence, sentiment analysis, data normalization, machine learning, and natural language processing. 

Besides this, you will also be responsible for creating visual graphics and charts according to the reports obtained from the analytical data phase.

Machine Learning Engineer

To establish a well-secured career in the data science job market in 2024, you can apply for a machine learning engineer role. As the ML engineer, you will be responsible for creating and executing various algorithms for data analysis, operating and managing the analytical models based on ML and AI combined, and even implementing new strategies to ensure the analytical results are accurate and require strong analytical skills, including proficiency in programming languages such as Python, SQL, and R. This role also involves data preparation, including data collection, profiling, EDA, and data preparation for AI model development and experimentation, as well as forecasting, making it a highly sought-after position for those with a background in computer science.

Data Scientist

Last but not least, you can opt to become a data scientist. The two primary roles of data scientist are gathering data from various relevant sources concerning the business and qualitatively analyzing the same to extract appropriate information. You will work closely with several other professionals involved in the data science lifecycle to ensure the collected data can reveal important facts about the business, customer market, etc. In 2024, data analytics will continue to be a crucial aspect of the data science field, making roles such as associate data scientist, junior data scientist, data scientist, and technology solutions expert highly sought after for their expertise in data visualization and automation.

Conclusion 

Are you interested in data science jobs? There are many opportunities in India and it’s up to you to decide if this is the right career for you. You can get a degree or certificate in data science, learn more about technology, and apply for roles at different companies. The demand for data science professionals is growing in India, so there are many options available. To become a skilled professional, you can enroll in an online program like Manipal Academy of Higher Education’s (MAHE) MSc in Data Science, which focuses on providing comprehensive training in data analytics, machine learning, and other relevant areas. This program equips you with the necessary skills to excel in the field of data science and opens up a world of opportunities.

Disclaimer

Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.


Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.

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  • Online MSC Data Science

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