2024 is a year of technological advancement, where companies are switching towards the latest technologies to grow their business. Data science positions are in high demand because they help companies make smart decisions using data.Whether you’re new to data science or already working in it.
Below are the 10 basic titles for the Data science positions. We’ll talk in detail about the job profile and the skills needed for each job. You can choose which one suits you well based on your skill sets and interest.
Top 10 Data Science Positions:
- Data Scientist
- Data Analyst
- Data Engineer
- Data Architect
- Quantitative analyst
- Machine Learning Scientist
- Machine Learning Engineer
- Business Intelligence Developer
- Database Administrator
- Data Mining Expert
Please keep in mind that we here are not giving any ranking to the particular job, these data science positions are currently in high demand in the market and are offering good packages to the individuals.
Let us talk about each job in detail, for your better understanding.
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Data Scientist-
Starting with the most basic data science position, which is data scientist. Data scientists study data to find important information that can help businesses to grow and make better choices.
Skills required to become data scientist are:
- Good at programming (like using Python or Java).
- Understanding math and stats.
- Good problem solving skills.
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Data Analyst-
You might have heard this one quite often, when it comes to data science positions.
Data analysts basically look at data to find trends and help businesses to make smart choices. Data analyst jobs include – visualizing, analyzing, transforming and manipulating data according to the needs of businesses.
Skills required to become a data analyst are:
- Knowledge of using tools like MS Excel
- Good knowledge of SQL database and its tools
- Being good at analyzing trends related to data
- Good problem solving and critical thinking skills
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Data Engineer –
The main work of a data engineer is to design and build systems to collect and manage data for businesses.
They provide an environment for data scientists to work by maintaining and building interactive and user friendly systems.
Skills required to become a Data engineer are:
- Knowledge of programming languages
- Understanding big data technologies
- Knowledge of AWS cloud services and its tools.
- Understanding and knowledge of Hadoop.
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Data Architect:
The job of a data architect involves designing and building data systems for organizations. However, it is quite similar to that of a Data engineer job profile. In addition, They create plans for how data will be stored, organized, and accessed to ensure that businesses can use their data effectively.
Skills required to become a Data architect are similar to that of Data engineers.
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Quantitative Analyst:
Quantitative analysts, also called “quants,” are financial analysts who use math, coding, and finance skills to help companies make better financial decisions.
They use automated trading techniques and data science to increase profits.
Skills required to become a Quantitative analysts are:
- Programming skills such as Python and C++
- Knowledge of financial concepts and statistics
- Good analytical skills and critical problem solving
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Machine Learning Scientist:
A Machine Learning Scientist’s main job is to focus on designing and implementing the adaptive algorithms. They create algorithms that help computers recognize patterns, make predictions, and solve problems efficiently.
Skills required to become a Machine learning scientist are:
- Good command over programming languages.
- Great knowledge of machine learning algorithms.
- Good data visualization and problem solving skills.
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Machine Learning Engineer:
A Machine learning engineer is in great demand today as everyone is switching towards AI, basically they work upon building smart computer programs using machine learning algorithms that can learn from data and make decisions wisely. It’s a cool job as here, you get to create machines that can do things like humans.
Skills required to become a Machine learning engineer are:
- Familiarization to machine learning algorithms
- Knowledge of programming languages
- Good at problem solving and critical thinking.
- Should be good at data modeling and evaluation
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Business Intelligence Developer:
Business intelligence developers create tools and design strategies to help businesses understand their data better. This also helps businesses to make more profit as it provides analytics and new insights of a company’s business model.
Skills required to become a Business intelligence developers are:
- Knowledge of programming languages
- Understanding of using databases and its tools
- knowledge of using BI tools such as Power BI etc.
- Understanding of business models.
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Database Administrator:
A Database Administrator is mainly responsible for managing and maintaining databases within an organization. Their main goal is to ensure that databases are efficient, secure, and accessible to authorized users whenever needed.
Skills required to become a database administrator are quite similar to the rest with good knowledge of database tools and operations.
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Data Mining Expert:
Data mining expert is mainly responsible for mining of data from data warehouses where all the data is stored in the bulk.
Their main aim is to extract useful information from a large set of data which can be further used for analyzing trends and improving business performance.
Skills required to become a Data mining expert are:
- Good knowledge of database servers and their commands.
- Understanding and knowledge of operating data warehouses.
- Good hold on programming languages.
- Good analytical skills.
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Data Science Position FAQs
Will data science be in demand in 2025?
As technology is growing day by day, businesses are more reliant on data for strategic growth. Hence, it is projected that data science demand will significantly increase in 2025.
Will AI replace data scientists in the next 10 years?
As AI is dominating the world day by day, it is possible that AI will make it easy for humans, taking less time and enhancing accuracy but it is not possible to replace humans completely from data science positions.
Is data science difficult to learn?
Data science can be difficult to learn as it requires good knowledge and understanding of various skills like - problem solving, mathematics, statistics, programming languages, knowledge of operating databases etc.
Is data science a high paying job?
Yes, Data science positions are high paying and currently in demand. An average salary in the field of data science can vary from 5-25 lakhs per annum, depending on the skillset, experience and job location of an individual.
