Data Scientist: Responsibilities, Qualifications, Salaries, and Tips to Become One

Data Scientist: Responsibilities, Qualifications, Salaries

Are you wondering how to become a Data Scientist but don’t know where to start? Well, you have landed on the right page. This article talks about job descriptions related to data scientists, their salary patterns, and how to become a Certified Data Scientist. 

Table of Contents 

  • Who is a Data Scientist?
  • Responsibilities and Qualifications for a Data Scientist  
  • Job Titles for Data Scientists
  • Salary of a Data Analyst
  • How to Become a Certified Data Scientist?

Who is a Data Scientist?

Data science is the field of computer science that helps in providing actionable insights from large chunks of data. Data Science developers use several techniques such as predictive analytics, statistics, and machine learning algorithms to interpret data for a better decision-making process.

Data scientists are those who estimate the unknown data by writing complex algorithms and building statistical models. They are responsible for interpreting large amounts of data and carry out analysis to find trends and gain more in-depth insights. 

Tech giants and enterprises are hiring skilled data scientists as data science help companies in building prediction models, make better decisions on product, and improve product performance. 

Responsibilities and Qualifications for a Data Scientist 

Let’s have a look at the responsibilities and qualifications of a Data Scientist.

Responsibilities to Become a Data Scientist

  • Interprets large amounts of information to discover trends and patterns.
  • Analyzes data using exploratory mathematics and statistical techniques.
  • Identify relevant data sources and automate gathering processes.
  • Propose strategies to business challenges.
  • Generate and improve predictive models and machine-learning algorithms. 
  • Works closely with entire business units and engineering teams to develop a strategy for long term data platform architecture. 

Qualifications Required 

  • In-depth knowledge of analytical tools
  • Programming advanced computing
  • Developing software, data models, and algorithms
  • Experience using web services: Redshift, S3, Spark, etc. 
  • Executing predictive analytics
  • Data Visualization
  • Hands-on experience with Hive or Pig 
  • Proficient in SQL 

Job Titles for Data Scientists

Now without any further delay let’s explore some of the other top job titles for Data Scientist.

Data Science Developer 

Data Science Developer works closely with data and knows how to extract and interpret data. He focuses on analyzing and testing the core concepts of data sciences, right from the elementary concepts such as statistics, analytical functions, data management, and analytics to advanced topics like neural networks and machine learning, and R programming.

Data Scientist 

As we already mentioned, Data Scientists are responsible for interpreting large amounts of data and carry out analysis to find trends and gain more in-depth insights. With the help of business analytics, they help in explaining what effect the data is going to have on a company and help offer solutions beneficial for an organization.

Data Analyst 

Data analytics aims at processing and conducting statistical analysis of datasets that are already existing. They focus on viewing the historical data and emphasizes discovering answers to queries being asked on existing data. They have a strong background in mathematics and statistics along with fluent knowledge of R and Python, Data wrangling, high experience in Excel and SQL database, etc.

Business Analyst

Business Analysts are those who act as a link between the data engineers and the management executives. They are responsible for handling large volumes of data and separating the high-value data from the low-value data. They hold an in-depth understanding of IT technologies like data modeling, data visualization tools, etc.

Data Architect 

A data architect builds the blueprints for data management so that the databases can be integrated, centralized, and protected easily with the best security measures. They hold hands-on experience in math and statistics, data visualization and data migration, RDBMS and DBMS, cloud computing, and much more.

Salary of a Data Analyst

The demand for Data Science Developers is soaring, and there is no sign of stopping. Tech giants, private firms, enterprises, and even startups are rushing to take advantage of Data Scientists and Data Analysts. Salaries of Data Science developers are relatively higher on their own. But a wide range of factors determines salary packages such as experience, a position he/she holds, job location, and, most importantly, skills. 

According to Glassdoor, in India, the national average salary for a Data Scientist is â‚ą10,00,000, and in the US, the average salary is $122242 per year as per indeed.com. According to ZipRecruiter, the annual data science entry-level salary is estimated to be $69,000.

ZipRecruiter also reports that the median salary for an experienced manager-level data scientist salary is considerably higher at $184,000.

How to Become a Certified Data Scientist?

Demand for data science developers is soaring at present. If you are planning to become one, Global Tech Council can be your one-stop solution. 

At Global Tech Council, we offer curated courses based on futuristic technologies, including Data Science, Artificial Intelligence, Virtual Reality, Cybersecurity, and many others conducted by industry experts to take you towards the road to success. 

As certifications from Global Tech Council are recognized and valued worldwide, the Data Science Developer Certification aids your credibility for the various job roles in the Data Science domain.

Want to become a Data Science Developer? Why wait? Enroll in the best online certification courses and become a data science expert. Check out more at Global Tech Council.