The data science job market is growing by leaps and bounds. Recent reports show a 30% spike in the number of data science jobs, with India contributing to 11.6% of it alone. There are endless possibilities in the data science field, leading to a host of new jobs every year. This article will cover 7 types of data science jobs that you can apply for as a fresher. You will also find sections on salary details of these roles, skills you will require, and how to prepare yourself to make a mark in this domain. Let’s get started.
7 Types of Data Science Jobs for Freshers
The data science industry witnessed a 650% growth since 2012 and has surpassed almost all other sectors. Reports also show that when joining a company, a data scientist can get a 30-40% hike. Similarly, existing professionals get a 20-30% annual increment.
A career in data science is extremely lucrative if you know how to implement your data science skills. Experts predict over 1.1 crore job openings by 2026. If you are looking to start your data science career now, you are just in luck.
As a fresher, you may get bumped with the amalgamation of roles that companies look for in name of a data scientist. You have to keep this in mind –
A data science team may have individuals who are not directly from a data science background but have acquired these skills over time.
To make job hunting easy for you, here are 7 types of data science jobs for freshers that you can explore.
1. Data Scientist
Data scientists are responsible for finding, cleaning, and organizing data for companies. They must know how to mine and analyze massive amounts of data to find solutions to complex business problems. Unlike data analysts, data scientists do not engage in reporting or data visualization. However, they do use visualization to find patterns in large complex data sets. Data scientists work closely with the raw forms of unprocessed or processed information (data).
Here is a job description for a data scientist job opening at Expedia. Interested? Apply from here.
2. Data Architect
Data Architects are responsible for ensuring that databases function properly and their performance keeps on improving. A data architect not just works with existing systems but also creates new database systems and data solutions. They also provide the means for analysts and database administrators to access the system. The main goal of this job role is to create a sustainable data ecosystem for the organization and enable easy access for data scientists and employees. This is definitely one of the best data science jobs in India in terms of salary and career growth.
Check out the job description and technical requirements that Kyndryl has posted for the data architect role.
3. Data Analyst
Data analysts are specialists in data analytics and analysis. They collect, analyze, and interpret data for pattern identifications. They also identify relationships, dependencies, anomalies, and trends from within the data.
Data analysts are masters in transforming and manipulating massive datasets for advanced analytics. Analysts are also very valuable during report building, forecasting, and visualizing. They help businesses make data-backed business decisions, similar to that of Business Intelligence experts.
Interested in this profile? Here’s how the roles and responsibilities of a Data Analyst look at TargetHere’s how the roles and responsibilities of a Data Analyst look at Target –
4. Data Engineer
Data engineers have a very specific role in processing generated or sorted data. They are usually experts in data warehousing and data modeling. A data engineer is responsible for batch processing sourced data while maintaining the data pipelines. He/she is also integral in creating the perfect ecosystem for data scientists and analysts in an organization. If you are a data engineer, you will have the role of ensuring that every part of the data network is working smoothly, and is facilitating data transfer in this ecosystem properly.
Want to start as a data engineer? Here’s how an ideal data engineer job description looks [Source: Wingify’s job posting for data engineer]
5. Machine Learning Engineer
This job role involves delivering automated software and machine solutions or creating data funnels for advanced Machine Learning (ML) systems. Machine Learning Engineers design, build, monitor, and run tests on ML systems. One of their core goals is to investigate the best algorithms and approaches to implement machine learning concepts in systems through unsupervised or supervised learning techniques. ML Engineers also work with deep learning and conduct various research for improving the performance of these systems. There are separate jobs for these sorts of advanced research such as ML Research Engineers and ML Research Scientists.
Take a look at TonkaBI’s job post on machine learning engineer–
6. Business Intelligence Analyst or Developer
Business intelligence or BI analysts and developers design and use BI tools to help businesses make effective operational decisions. They use data to facilitate data-centric actions and predict probabilities for the company. BI analysts are experts in BI tools and visualization. On the other hand, BI developers are application architects and are great at manipulating existing systems and sourcing or connecting data that a BI tool will use. While BI developers customize BI tools as per the company’s requirements, BI analysts customize end-user dashboards and reports to focus on core detail. They customize it in such a way that is easily interpreted by non-technical people. This is probably one of the best data science jobs for fresher.
A quick look at the job description of a BI developer at Ola –
7. Enterprise/Infrastructure Architect
Enterprise/infrastructure architects are masters of business systems, database infrastructure, data infrastructure, and cloud computing. They promote the adoption of new technology and upgrade the IT infrastructure of the companies. Simultaneously, they actively engage in a company’s migration to cloud computing. Cloud infrastructure architects are also good at working with data and database management. They ensure that the data integrity is maintained in the cloud, and can be accessed securely and rapidly according to operational needs.
Note: You will find the job designation presented in various ways like Infrastructure domain architect, Microsoft Azure IaaS Infrastructure Architect, Technical infrastructure architect, Cloud application services architect and so on. All these are part of this job category – just with various specializations/focuses.
Here is a job description for a Technical infrastructure architect position at Equiniti
These are the top 7 job roles that you can try as a fresher. While these roles are apt for a fresher to start their career, an experienced professional can also go into these roles. Most of these roles branch out into more complex responsibilities as you gain experience. Having said that, let’s take a look at the skills that you make you eligible for a data science job.
Eligibility for Data Science Job – Mandatory Skills
Data science jobs in India as well globally require you to have a background in mathematics, computer science, or IT. A bachelor’s degree in any of these fields or related fields is your first step into the data science world. This, along with a certification in data science and analytics, will open up doors for you. If you are wondering if a post-graduate diploma or certification course in data science is worth your time, then here’s the deal for you –
Juan M. Lavista Ferres, Chief Data Scientist at Microsoft, revealed in an interview that the majority of the data science skills are acquired while on the job. But a basic foundation is important which a degree course or certification course in data science can offer. He goes on to reveal how his team comprises of physicists, electrical engineers, computer scientists, and people from various other domains – pinpointing the fact that data science is for everyone.
You can enroll in our Data Science certification course and our exclusive PG in Data Science course at your convenience, or you can book a demo with us.
Companies across the globe give preference to candidates with a professional course certificate in their kitty. This assures them that the candidate is well-versed with all the skills required to make a start. So, before you write your data scientist resume, make sure you have all the following skills to mention in it.
- Programming languages like Python, R, or Scala.
- Standard Query Language or SQL
- Database management
- Relational Databases such as Microsoft SQL Server
- BI tools such as Power BI, SAS, or Tableau.
- Microsoft Excel and Power Pivot
- Cloud Computing
- Testing and Debugging Skills
- Data processing
- Data Mining
- Data Warehousing
- Data Cleaning
- Data modeling
Want to learn all these skills from experts? Join our Data Science course to master all the data science skills and learn from expert professionals at your own pace. Opt for either classroom sessions or online learning, get personal one-on-one discussion sessions with mentors, build a strong candidate profile, get trained for job interviews, and more – all in one course.
Now you know what skills to add to your resume. Time to start applying and prepping yourself for the interview sessions.
Here are the top 50 interview questions and answers to them that will help you get through your interviews.
Meanwhile, it is essential to know the current salary trends for data science jobs, especially in India. You must be aware of the industry standards so that you can set proper expectations.
Salary Range for Data Science Jobs for Freshers
These are the salary range for data science jobs in India:
- Data Scientist: A data scientist earns INR 576,860/year at entry level while a highly experienced person gets 1,362,500/year on average. On average, a data scientist gets INR 877,568/year [source].
- Data Architect: As a fresher in India, you can get an average of INR 950,000/year. After you gain 5-6 years of experience, you can expect a salary of INR 2,598,272/year on average. Usually, the salary range is somewhere around INR 2,046,387/year [source].
- Data Analyst: On average, a data analyst in India gets around INR 469,593/year. Experienced analysts in India can expect INR 1,600,000/year [source].
- Data Engineer: A data engineer can get a salary of INR 865,512/year. Freshers can get on average INR 477,805 while experienced professionals can get INR 1,912,618 [source].
- Machine Learning Engineer: On average, a machine learning engineer draws INR 728,724/year. Freshers can expect a salary of around INR 514,391/year [source].
- Business Intelligence Analyst/Developer: A BI analyst in India gets on average INR 600,181/year [source] while a BI developer can get on average INR 599,663/year [source].
- Enterprise Architect: An enterprise architect can get on average INR 2,951,769/year in India. The entry-level salary range is somewhere around INR 1,025,000/year while experienced architects can expect on average INR 3,314,770/year [source]
Here is an overview of the salary distribution across data science job roles in India:
This brings us to the end of the types of data science jobs you can opt for as a fresher. Before we pull the curtains, here are a few commonly asked questions that we have addressed below. If you have more queries, let us know and we will answer them as well.
Data Science Jobs: FAQs
1. Is data science a stressful job?
Jobs on data science are usually fun as long as you love to play around with data. Any job will demand a lot of your energy especially if you are a fresher and learning. A job as a data scientist will take up a lot of energy because you keep learning as you work. Unless you enjoy what you do, it will get stressful for you. In terms of tasks, you can expect smaller task lists to start off so that you can learn more.
2. Is data science a good career in 2023?
Yes. Data science is finding its application in our everyday life. The credit goes to the advent of machine learning and AI. From chatbots to automated cars, there is data science in everything we see or do. So, building a data science career can be a lucrative choice only if you can master the skills and concepts. Data science jobs are not dying anytime soon!
3. What is the difference between a data scientist and a data analyst?
We know how confusing it all may seem especially when you are just starting up. Follow our blog on Data Science vs. Data Analytics to understand how these two roles are different, what skills you need for each of them, and how you can prepare yourself for each of the roles.
4. Is it hard to get into data science?
No, it isn’t. Focus on learning the skills and concepts with clarity. You can then apply for data science job roles.
5. Can I get a data science job without an engineering degree?
Yes, you absolutely can. Though, it is recommended that you go through professional training programs or gain certifications in the field of your choice in order to apply for high-paying jobs.
6. Which other fields I can get into?
You can go into bioinformatics, robotics, marketing analysis, financial analytics, and business analytics from other pure branches of Data Science.
7. What are the related fields of Data Science?
AI, Machine Learning, Cloud Computing, Analytics, Statistical Analysis, Business Intelligence, Database Management, and software development are other fields related to data science.
8. Do you need programming in all Data Science jobs?
No, you do not need programming for Data Analytics, forecasting, and visualization. You do not also need programming for being a business intelligence analyst, however, basic programming knowledge is required for BI developers.
Here’s wishing you good luck in your job search. Below are some more helpful resources for you.
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