A report by the Economic Times dated January 20, 2020, says that Data science job roles to see over one lakh job openings this year. The data science domain requires expertise in disciplines including mathematics, statistics, IT and computer science. But this can be daunting if you’re new to data science, but keep in mind that there are different types of data science jobs role for freshers. You should know in 2020.
There are organizations that will emphasize some skills over others, so you don’t have to be an expert at everything. There are potential types of data science jobs for lots of different experience levels. Here we listed the major 5 different types of Data Science Jobs. Besides, this will enable you to apply to data science jobs you’re already qualified for, or develop certain data skill sets to match the data science job roles you want to pursue.
Protip: “Data scientist” is mostly used as a blanket title to describe data science jobs that are extremely different. Let’s look at 5 kinds of data science jobs.
5 Different Types of Data Science Jobs
1. The Data Analyst
In the 5 different types of data science jobs, the data analyst job is one of that. There are some companies where being a data scientist is the same as being a data analyst.
Here your job might scrutinize information using data analysis tools. You also consist of tasks such as pulling out the raw data and helping your employers or clients to make important decisions by identifying various facts and trends.
In meanwhile, you may also analyze the results of an A/B test or collect the lead on your company’s Google Analytics account and report those results back to business stakeholders.
Pre-requisite or Eligibility to work as a Data Analyst:
- Bachelor’s degree from a reputed university or college in computer science. Work experience as a data analyst or in a related field.
Additional Soft Skills for a Data Analyst Job Role:
It is good if you have these extra-skills like,
- Strong presentation, communication skills, and a positive attitude
Salary for Data Analyst Job Role in India:
According to Payscale.com, the average salary for a full-time Data analyst in India is ₹410606/yr.
Protip:“An organization like this is an excellent place for an aspiring data scientist to learn the ropes.”
Once you handle these things on your day-to-day responsibilities, a company like this can be a great environment to try new things and expand your skillset.
2. The Data Engineer
In the different types of data science jobs, a data engineer is one of them.
Some organizations might have an umpteen number of data and they start looking for someone to set up a lot of the data infrastructure that the company will need moving forward.
Here, they will look for someone who has knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations
For this position, you might find job postings in job portals listed under both “Data Scientist” and “Data Engineer”.
Since you’d be (one of) the first data hires, heavy statistics and machine learning expertise is less important than strong software engineering skills.
Pre-requisite or Eligibility to work as a Data Engineer:
- Bachelor’s Degree in Computer Science from an accredited university or any related field.
- In-Depth Knowledge of SQL and other database solutions, Hadoop-based Analytics (HBase, Hive, MapReduce, etc.), coding and Machine learning.
Additional Soft Skills for a Data Analyst Job role:
- It is good if you are Self-motivated.
- Having soft skills like excellent verbal and written communication skills are added advantages.
Salary for Data Engineer Job Role in India:
According to Glassdoor.com, the average salary for a full-time Data Engineer in India is Rs. 8,56,643 LPA.
Protip: “Mentorship opportunities for junior data scientists can be less plentiful at a company looking to leverage rapidly increasing amounts of data.”
On the whole, here you’ll find great opportunities to shine and grow via trial by fire, but there will be less guidance and you may face a greater risk of flopping or stagnating.
3. The Data Science Generalist among the types of data Science job roles
A lot of organizations are looking for a generalist/analytics specialist to join a set-up team of other data scientists. The company you’re attending the interview mainly focuses on data but probably isn’t a data company.
But, it is equally important that you here you can perform analysis, touch production code, visualize data, etc.
In the company, your job is to clean and explore datasets and make predictions that deliver business value. Your day-to-day responsibilities include training and optimizing models, and often deploying them to production.
Pre-requisite or Eligibility to Work as a Data Generalist:
- Bachelor’s degree in Associates and with a minimum of 3 years of experience as a generalist.
- Basic technical skills with high attention to detail
Additional Skills for Data Generalist Job Role:
It is good if you have these extra-skills like,
- Effective and efficient communication and written skills with the ability to proofread and edit documents.
- Hands-on experience in MS Office (Excel, Word, Publisher, and PowerPoint).
Salary for Data Generalist Job Role in India:
The average data Generalist salary in India is approximately 3.5 lacs per annum
Protip: “The most significant ‘data generalist’ skills involve knowledge on tools designed for ‘big data,’ and experience with messy, ‘real-life’ datasets.”
Generally, these companies either look for generalists or they look to fill a specific niche where they feel their team is lacking, such as data visualization or machine learning.
4. The Machine Learning Engineer
In the different types of data science jobs, Machine Learning Engineer is one of the data science job profiles.
Machine Learning engineers are preferred by companies for whom their data (or their data analysis platform) is their product.
In such a case, the data analysis or machine learning going on can be pretty deep. This would probably be a unique situation for someone who has a formal mathematics, statistics, or physics background and is wishing to continue down a more academic path.
If you continue working there, you mostly design and develop machine learning and deep learning systems. Besides, running machine learning tests and experiments. Then, implementing the appropriate ML algorithms.
Pre-requisite or Eligibility for Machine Learning Engineer Job Role:
- Bachelor’s degree/University degree or equivalent experience
- You should have familiarity and experience working with Machine learning (ML) algorithms and Frameworks.
Additional Skills for Machine Learning Engineer Job Role:
- It is great if you have knowledge of Data Science, Machine Learning and Statistics.
- Tableau for data visualization
Salary for Machine Learning Engineer in India:
According to Glassdoor.com, the average salary for a Machine Learning Engineer in India is ₹8,00,000 per annum.
Protip: “Machine Learning Engineers more often focuses on producing great data-driven products than they do answering operational questions for a company.”
Generally, companies that fall under this group could be consumer-facing companies with mammoth amounts of data or companies that are offering a data-based service.
5. Business Intelligence Analyst among the types of data science job roles
There are companies that look for Business Intelligence analyst job roles as an important one from the different types of data science jobs if they move to capitalize on the volumes of data they collect.
In this case, you need to transform their data into insights that drive business value. Through the use of data analytics, data modeling techniques & technologies, and data visualization.
Pre-requisite or Eligibility for Business Analyst Job Role:
- Should have a bachelor’s degree in business, management, accounting, economics, statistics, information science or similar.
- Some more complicated jobs may require a master’s degree in business administration (MBA).
Additional Skills for Business Intelligence Analyst Job:
- Should have excellent verbal and written communication skill
- Microsoft Office and Excel
- Critical-thinking and problem-solving, interpersonal and presentation Skills
Salary for Business Intelligence Analyst in India:
According to indeed.com, the average salary for a full-time Business analyst in India is ₹ 18,691 per month.
Protip: “Business Intelligence Analyst should often focus more on developing a mixture of technical, soft and analytical skills. This makes you become a successful BI analyst.
Generally, companies that hire BI analysts are to discover areas of revenue loss and identify where improvements can be made to save the company money or increase profits.
According to Linkedin.com, there are 2,000+ Business Intelligence Analyst jobs available in India.
Hopefully, this article tells you a sense of just how broad the title “data scientist” is. Many different types of companies are seeking data scientists for different skill sets, expertise, and experience levels.
However, reading this article helps you to make sure to look closely at the job descriptions, to find the role and company that best match your skills and experience.
Over the past few years, with the growing digital economy, Data scientist is becoming the hottest job of the 22nd century and has gained its importance. Data Science allows companies to better understand customers’ mindset to improve engagement and sales. “With large amounts of data being generated, the data science vertical is key to mining actionable insights for businesses, – ” Great Learning co-founder Hari Krishnan Nair said.
But it’s no matter what skills you possess or how much experience you have, Zuan Education has a perfect data science training program for you, to ensure you learn the relevant skills you’ll need, to build a career you’ll love!
In the Meanwhile Have a Look at Our Related Data Science Blogs:
- Data Science Scope in India for Aspiring Professionals
- Data Science Jobs that You can Get after doing a Data Science Course at Zuan Education
- How You Can Start Your Career in Data Science
- Different Skills that You Need to Develop to Become a Successful Data Scientist