Top 10 Career Opportunities in Data Science

If there is anything that has created a lot of buzz over the past several years, it is data, both for the businesses and the general public. From the managerial positions to the main leadership of an organization, most firms and their decisions rely on the insights that this data provides. But to have a proper insight and maintenance of this data, there are various data science career opportunities that these organizations need to have in their teams to leverage their true potential.

Top Career Options In Data Science:

In this blog, we will be briefing you about a few top data science career opportunities that are high-paying and rewarding in the industry today.

1. Data Scientist

The jobs for a data scientist are a spin-off of a number of conventional technical jobs, including those of statistician, computer expert, scientist, and mathematician. The jobs for data scientist demands the use of modern analytics tools, including predictive modeling and machine learning. Data Scientist’s main job is to mine huge chunks of data for information that can be used to forecast customer behavior and find new revenue opportunities.

ROLES AND RESPONSIBILITIES

• Find useful data sources and automate the procedures for gathering it
• Preprocess data, both organized and unstructured.
• Create machine learning algorithms and prediction models.
• Utilize data visualization tools to provide information.
• Bring up strategies and solutions for corporate problems.
• Work together with the product development and engineering teams.

SKILLS

• Knowledge of data mining
• Operations research and machine learning
• R, SQL, and Python
• Knowledge of Scala, Java, or C++
• Knowledge of Hadoop, BI Tools, and visualization tools like Tableau
• Statistics and algebra
• Excellent presentation and communication abilities

SALARY

The national average salary for a Data Scientist role is 10 L/yr and can go up to 21 L/yr or above depending on the skillset and the experience.

Image source: Glassdoor.co.in

2. Data Engineer

Data engineers create systems that gather, manage and transform unprocessed data into information that data scientists and business analysts can use to interpret it in a variety of contexts. Their ultimate objective is to make data accessible so that enterprises may utilize it to assess and enhance their performance.

ROLES AND RESPONSIBILITIES

• Analyze and arrange unprocessed data
• Create data pipelines and systems.
• Analyze demands, patterns, trends, and goals of the business
• Analyze complicated data, then present the findings.
• Gather information for predictive and prescriptive modeling.
• Create prototypes and algorithms that combine unprocessed data from many sources

SKILLS

• Knowledge of segmentation techniques, data mining, and data models
• Programming language expertise (e.g. Java and Python)
• Excellent mathematics and analytical abilities
• Practical experience in designing SQL databases

SALARY

The national average salary for a Data Engineer is around 9 L/yr and may go up to 22 L/yr depending on the skills and experience.

Image source: Glassdoor.co.in

3. Data Architect

Data architects are IT specialists that utilize their knowledge of computer science and database architecture to assess and analyze an organization's data infrastructure, create future database plans, and put into practice ways to manage and store data for both businesses and their users. Data architects are employed in various sectors, such as entertainment, technology, finance, healthcare, and government.

ROLES AND RESPONSIBILITIES

• Install and configure information systems to assure operation.
• Develop database solutions to store and retrieve corporate information.
• Examine the structural specifications needed for new programs and applications.
• Create conceptual and logical flowcharts and data models.
• Enhance both new and existing database systems by running tests, fixing issues, and adding new components.

SKILLS

• Comprehensive knowledge of database structure.
• Knowledge of compiling and assessing system requirements.
• Understanding of segmentation and data mining approaches.
• Oracle and SQL knowledge.
• Mastery of Microsoft Excel.
• Knowledge of Tableau, D3.js, and R

SALARY

The national average salary for a Data Architect is 21 L/yr and can go up to 36 L/yr depending on the skills and experience.

Image source: Glassdoor.co.in

4. Data Modeler

The data modeler position is one of the highest-in-demand in current techniques for handling data. As more and more companies migrate their present data models to NoSQL platforms, it becomes more important to have an in-depth understanding of big data platform architecture and proficiency with data warehouses, RDBMSes, and the dimensional OLAP model.

ROLES AND RESPONSIBILITIES

• Analyzing and converting business requirements into data models for long-term solutions
• Assessing current data systems and creating conceptual data models and data flows
• Creating best practices for data coding to assure system consistency
• Putting data plans into practice and creating data models
• Assessing the effectiveness and variations of established data systems
• Improving and troubleshooting data systems

SKILLS

• Knowledge of data modeling, including conceptual, logical, and physical data models
• Knowledge of the mathematical underpinnings of statistical inference and forecasting.
• Understanding of modeling and data analysis tools, such as Power Designer, Erwin, and ER/Studio
• SQL or PL/SQL
• Solid understanding of RDBMS systems, such as SQL Server, Oracle, Netezza, and Teradata.

SALARY

The national average for Data Modeler is 12 L/yr and can go up to 20 L/yr depending on the skills and experience.

Image source: Glassdoor.co.in

5. Big Data Engineer

A big data engineer is the individual who is in charge of creating and designing data pipelines. They are the minds behind gathering ordered sets of data from numerous sources for analysts and data scientists. Big Data engineers are in high demand, and they are in one of the greatest positions in this industry.

ROLES AND RESPONSIBILITIES

• Creating Hadoop infrastructure and using hive or Pig to pre-process various data sets after loading them
• Controlling the exchange of information between the internal system and the survey provider
• Working together with the software development and research teams to develop cloud platforms for business application development

SKILLS

• Spark, Hadoop, and related frameworks.
• Python, R, Ruby, PHP, Java, C++, and Linux.
• Understanding of RDBMS and NoSQL databases, such as Redis and MongoDB.
• Knowledge of Docker, AWS, and Mesos technologies

SALARY

The national average for a big data engineer is around 7.5 L/yr and can go up to 16 L/yr depending on the skills and experience.

Image source: Glassdoor.co.in

6. Enterprise Architect

The upkeep and maintenance of an organization's IT networks and services is the responsibility of the enterprise architect. They are in charge of managing, enhancing, and updating enterprise services, software, and hardware as an enterprise architect.

ROLES AND RESPONSIBILITIES

• Assessing internal operations, corporate development plans, and IT procedures.
• Establishing and executing modeling business architecture to represent the organization's strategies and ambitions.
• Ensuring the organization's objectives are supported, secure, and efficient.
• Developing compliance architectural techniques for data storage, and metadata management.
• Deciding which techniques to use (create vs. purchase), mentoring employees, and perspectives on the overall business strategy.

SKILLS

• Design and analysis.
• Problem-solving and solution shaping.
• Graphical abstractions, modeling, and representations.
• Real-world experience creating and constructing models.

SALARY

The national average salary for an enterprise architect is 25 L/yr and can go up to 44 L/yr depending on the skills and experience.

Image source: Glassdoor.co.in

7. Business Intelligence Analyst

Business Intelligence Analyst are in charge of managing, enhancing, and updating enterprise services, software, and hardware. They have to keep up with the most recent developments in technology and fashion and keep an eye out for any gear, software, or services that could facilitate corporate operations.

ROLES AND RESPONSIBILITIES

• Define goals, and consult with management and other stakeholders.
• Designing, researching, and putting into practice data collection techniques.
• Data analysis and data synthesis.
• Reporting results and making recommendations.

SKILLS

• Familiarity with Data Warehousing.
• Modeling data.
• Analysis of data.
• Mining data.
• Python and C# programming languages.
• Critical thinking and effective communication.
• Reporting and database management.

SALARY

The national average salary for a BI analyst is around 7 L/yr and can go up to 14 L/yr depending on the skills and experience.

Image source: Glassdoor.co.in

8. Database Manager

A database manager is in charge of creating and managing the systems used by an organization to store and arrange data for businesses. They guarantee the security of the data kept by putting in place a number of security procedures. The database manager is also in charge of overseeing the everyday operations of the database teams and determining the data storage requirements of businesses.

ROLES AND RESPONSIBILITIES

• Improving the efficiency of database services and tools.
• Creating the database's structure and architecture.
• Increasing the speed and scalability of current database architectures.
• Generating data backups and updating systems as needed.
• Ensuring that data is safeguarded and backed up.
• Creating data security and recovery measures to protect data.

SKILLS

• Powerful analytical and problem-solving abilities
• Improvement in structured query language competency
• Thorough understanding of database technology
• The capacity to fix hardware and software problems

SALARY

The national average for a Database Manager's salary stands at 15 L/yr and can go up to 41 L/yr depending upon the skills and experience.

Image source: Glassdoor.co.in

9. Database Developer

Designing, programming, creating, and implementing database systems is the main responsibility of a database developer. They accurately adapt database solutions to the requirements of the relevant firm. From creating the database to ensuring data integrity, the profession involves a wide range of activities.

ROLES AND RESPONSIBILITIES

• Creating reliable, durable, and stable databases.
• Testing and altering databases.
• Investigating database issues and malfunctions.
• Make sure that all database programs follow the organization's performance criteria.
• Performing research and offering suggestions for new database services, tools, and procedures.

SKILLS

• Thorough understanding of data management (e.g. permissions, recovery, security, and monitoring)
• Knowledge of web application user interfaces and software development
• Proficiency in SQL.
• Knowledge of the .NET framework including HTML, JavaScript, and Oracle.
• Outstanding organizational and analytical skills
• Understanding of front-end consumers' demands and a desire to solve problems
• Excellent written and verbal communication abilities

SALARY

The national average salary for a Database Developer is around 6 L/yr and may go up to 12 L/yr depending upon the skills and the experience.

Image source: Glassdoor.co.in

10. Data Analyst

A Data Analyst gathers, purifies, and analyses data sets. They work in a variety of fields, including government, business, finance, law enforcement, and science.

ROLES AND RESPONSIBILITIES

• Evaluating data, statistically examining the results, and generating reports.
• Creating and implementing databases, data gathering methods, data analytics, and other activities for improving statistical quality and efficiency.
• Assembling data from primary and secondary sources, and maintaining the accuracy of databases and data systems.
• Filtering and cleaning data by assessing computer reports, printouts, and performance indicators.
• Determining the most crucial businesses and information requirements in collaboration with management.
• Discovering and defining fresh possibilities for process optimization.

SKILLS

• Technical understanding of database design, data models, data mining, and segmentation methods.
• Strong knowledge of reporting tools such as Business Objects, databases such as SQL, and programming languages like XML, Javascript, or ETL frameworks
• Knowledge of statistics
• Expertise in using statistical tools like Excel, SPSS, SAS, etc. for data analysis

SALARY

The National Average salary of a Data Analyst in India stands at nearly 6 L/yr and may go up to 12 L/yr depending on the experience, skills, and expertise.

Image source: Glassdoor.co.in

Conclusion

Although jobs in Data Science are fulfilling and rewarding, getting started is not easy. You don't need a master's or a bachelor's degree but rather a proper skill set and expertise to start. You can launch a successful career in data science by making a few right decisions. These decisions include picking the right role that intrigues you and then working on the skills to achieve it.

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