Top 7 interesting careers related to Data Science to explore. Pick one and start learning.
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#DataScience #ArtificialIntelligence #MachineLearning #BigData
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#DataScience #ArtificialIntelligence #MachineLearning #BigData
1. Data Scientist
Data scientist use their analytical and technical capabilities to extract meaningful insight from data.
Data scientist use their analytical and technical capabilities to extract meaningful insight from data.
2. Machine Learning Engineer
Machine Learning engineer's final output is the working software, and their audience for this output consists of other software components that run automatically with minimal human supervision. The decisions are made by machines.
Machine Learning engineer's final output is the working software, and their audience for this output consists of other software components that run automatically with minimal human supervision. The decisions are made by machines.
3. Machine Learning Scientist
They work in the research and development of algorithms that are used in adaptive systems. They build methods for predicting product suggestions and demand forecasting and explore Big Data to automatically extract patterns.
They work in the research and development of algorithms that are used in adaptive systems. They build methods for predicting product suggestions and demand forecasting and explore Big Data to automatically extract patterns.
4. Big Data Engineer
Big Data Engineers build the designs created by solutions architects. They develop, maintain, test, and evaluate big data solutions within organizations.
Big Data Engineers build the designs created by solutions architects. They develop, maintain, test, and evaluate big data solutions within organizations.
5. Business Intelligence (BI) Engineer
They have data analysis expertise and experience setting up reporting tools, querying, and maintaining data warehouses. They are hands-on with big data and take a data-driven approach to solve complex problems.
They have data analysis expertise and experience setting up reporting tools, querying, and maintaining data warehouses. They are hands-on with big data and take a data-driven approach to solve complex problems.
6. Statistician
They gather numerical data, display it, and help companies make sense of quantitative data and spot trends, and make predictions.
They gather numerical data, display it, and help companies make sense of quantitative data and spot trends, and make predictions.
7. Data Engineer
They ensure the uninterrupted flow of data between servers and applications and are also responsible for data architecture.
They ensure the uninterrupted flow of data between servers and applications and are also responsible for data architecture.
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