Data Science is one of the basic tools that businesses need for making any decisions.
Over the years the demands for data science have increased compared to the last decade. In this article, we going to be enlighting you with the high-paying careers in data science to venture into as a newbie.
High-paying careers in data science
Here are high-paying careers in data science.
Data Scientist
A data scientist is responsible for collecting, analyzing, and interpreting large data sets to extract insights and make data-driven decisions. They typically have a strong background in statistics, mathematics, and computer science, and use tools such as machine learning and artificial intelligence to process and analyze data. Average annual salary: $120,000 – $150,000
Machine Learning Engineer
A machine learning engineer is responsible for designing and developing machine learning models and algorithms to solve real-world problems. They work with large data sets and use tools such as Python and TensorFlow to build and deploy models. Average annual salary: $120,000 – $180,000
Big Data Architect
A big data architect is responsible for designing and implementing big data solutions, such as Hadoop and Spark, to manage and process large data sets. They work with stakeholders to understand their needs and design systems that meet those needs. Average annual salary: $140,000 – $180,000
Business Intelligence Manager
A business intelligence manager is responsible for leading a team of data analysts to deliver insights that inform business decisions. They work with stakeholders to understand their needs and design dashboards, reports, and other data visualizations that provide insights. Average annual salary: $120,000 – $160,000
Analytics Manager
An analytics manager is responsible for overseeing the use of data and analytics to drive business decisions. They work with stakeholders to understand their needs and lead a team of data scientists and analysts to deliver insights. Average annual salary: $120,000 – $160,000
Artificial Intelligence Engineer
An artificial intelligence engineer is responsible for developing and deploying AI systems to solve real-world problems. They work with large data sets and use tools such as machine learning and deep learning to build and deploy models. Average annual salary: $120,000 – $180,000
Predictive Modeler
A predictive modeller is responsible for developing and deploying models that use statistical and machine learning algorithms to make predictions about future outcomes. They work with large data sets and use tools such as R and Python to build and deploy models. Average annual salary: $100,000 – $150,000
Data Engineer
A data engineer is responsible for designing, building, and maintaining the infrastructure that supports data analytics and data-driven decision-making. They work with big data technologies such as Hadoop and Spark and use tools such as SQL and Python to build and maintain data pipelines. Average annual salary: $120,000 – $150,000
Data Analyst Manager
A data analyst manager is responsible for leading a team of data analysts to deliver insights that inform business decisions. They work with stakeholders to understand their needs and lead a team of data analysts to deliver insights. Average annual salary: $120,000 – $160,000
Data Warehouse Architect
A data warehouse architect is responsible for designing and implementing data warehousing solutions to support data analytics and data-driven decision-making. They work with stakeholders to understand their needs and design data warehousing solutions that meet those needs. Average annual salary: $140,000 – $180,000