Popular Data Science Job Roles in 2021 Data Science has emerged as one of the lucrative fields for aspiring professionals in the industry. While data has been called as new black, new oil, and other names, it is no surprise to learn that data has become the most important tool for businesses to stay ahead of their competitors. So, what’s new in that? Data has been driving business decisions for past decade now. Yes, it has been driving the business decisions, however, what’s new is the emergence of various new roles under the umbrella of Data Science Jobs. An Avalanche of Data Science Jobs Businesses became competitive. Digitization became the way forward and organizations realized the importance of not just data but also the significance of meaningful data that gave important insight to the business leaders to make data driven decisions. Over the last few years, with organizations opting for data-driven decision making, the jobs market saw an avalanche of variety of roles in the data science jobs. That’s a good thing, right? Maybe, but then again maybe not. There were challenges galore. Challenge: Difficulty in understanding the difference between the roles and the required skills for each of the roles. Reason: The fancy titles of these data science roles were of no help at all. Booming Data Science Jobs’ Market – The Way Forward Fortunately, for the aspiring data science professionals, the jobs market is booming and so for a better understanding of each of the numerous data science roles let’s have a detailed look into them with regards to their – • Description • Skills required • KRAs • Technology Stacks
• Salaries structures Here, we will explore some popular roles in data science jobs, to make it easier for you to pick and choose. Let’s start from the most popular role of data scientist. 1. Data Scientist: One of the most popular roles in the field of Data Science, here’s a quick glance at what languages you need to learn, along with the skills required to ace the role. Languages
Skills Required
R, SAS, Python, MATLAB, SQL, Hive, Pig, Spark
• Distributed
Roles A Data Scientist Cleans, massages, and organizes (big) data
Required Salary Earned Mindset They are Curious $118,709 USD Data Wizard
Computing Predictiv e Modeling • Storytelling & visualizin g • Mathematic s, 2. Data Architect: Another important role in data science jobs, data architect is Statistics, also known as the contemporary Machinedata modeler. A quick glance at the roles, skills required and the mindset you need to approach the role. Learning Languages Skills Required Roles Required Salary Mindset Earned Creates Inquiring SQL, XML, $100,118 •Data blueprints ninja with a USD Hive, Pig, warehousing for data love for data solutions Spark management architecture • systems to design In-depth integrate, patterns knowledge centralize, of database protect and maintain architecture data sources •ETL, spreadsheet, and BI tools •Data Modeling •
•Systems
Development 3. Statistician: Probably one of the oldest roles in the field of data science, Statistician in the age of data science has evolved to encompass bigger responsibilities. Take a quick look at the roles and mindset you will need to pursue this role. Languages R, SAS, SPSS, MATLAB, Stata, Python, Perl, Hive, Pig, SQL, Spark
Skills Required
•
Roles
Required Mindset
Collects, Logical and analyzes, and interprets both enthusiastic qualitative stats and genius quantitative data with statistical theories and methodologie s
Salary Earned $75, 069 USD
Statistical theories and methodology • Data mining and machine learning • Distribute d computing (Hadoop) • Database systems (SQL, No 4. Database Administrator: Also known as data caretaker, the role of database SQL based) • disaster administrator requires Cloud prevention skills and mindset. A quick glance at tools what you need if you are eyeing this role in the industry. Languages SQL, Java, Ruby on Rails, C#, Python, XML
Skills Required
Roles
Ensures that Backup the & database is recovery available to • Data modeling and all relevant users, is design performing • Distributed properly, computing •
(Hadoop)
Required Mindset Master of Disaster prevention
Salary Earned $67, 672 USD
•Database and is being systems (SQL kept safe and No SQL based) • Data security • ERP & business knowledge 5. Data and Analytics Manager: Also known as data science team leaders, this role requires to be cheerleaders. Take a look at the roles and skills required before you decide. Languages
Skills Required
SQL, R, SAS, Python, MATLAB, Java
Roles
Required Mindset Manages a Data team of Wizards’ data Cheerleader scientists and data analysts
Salary Earned $116, 725 USD
Roles
Salary
•Database systems (SQL and No SQL based) • Leadership & project management • Interpersona l communicati on Data • mining and predictive 6. Data Engineer: Theymodeling are your software engineers who have entered in data science, no not by accident but by choice. Here are the skills, and the languages you will need to master. Languages
SQL, Hive, SAS, Pig, R, MATLAB, SPSS,
Skills Required
• Database systems (SQL & NoSQL
Develops, constructs, tests, and maintain
Required Mindset Allpurpose everyman
Earned $95,936 USD
Python, Java, Ruby, C++, Perl
architectures based) (such as •Data databases modeling and largeand ETL scale tools processing • Data systems) APIs •Data warehousing solutions
7. Data Analyst: They are also known as data detective and need a mindset that is data intuitive. Check out the skills and other prerequisites for the role. Languages
Skills Required
Roles
Required Mindset
Salary Earned $62, 379 USD
• Spreadsheet tools Collects, Intuitive processes, data junkie (Excel) and with high • Database performs ‘figure-itsystems (SQL & statistical out’ NoSQL data quotient based) analyses • Communicatio n& visualization • Mathematics, A quick glance at all Statistics, the roles, Machine you will realize that there is an overlapping of Learning skills, languages, and roles, however, there is a difference in the mindset each of the data science job roles required.
R, Python, HTML, Javascript, C/C++, SQL
To gain the confidence of choosing any role in the industry, data science certifications are the best way to go forward. Data Science certifications from reputed institutes offer in-depth training for each of the roles. Don’t wait and get yourself registered for data science certifications.