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5 HIGH-PAYING
CAREER PATHS IN
DATA SCIENCE
Data Scientist:
Dive into data to extract insights using
statistical analysis and machine learning.
Drive decision-making processes with
predictive modeling.
1stepGrow.com
Machine Learning Engineer:
Focus on designing and implementing
machine learning applications. Develop
algorithms that enable machines to take
actions without being explicitly
programmed.
Data Analyst:
Translate numbers into plain English.
Analyze data to find trends and provide
reports—a crucial role for data-driven
decision-making in businesses.
Data Engineering:
Build and maintain the architecture
(databases, large-scale processing
systems) that allows for the efficient
analysis and processing of data.
Business Intelligence
Analyst:
Combine data analysis with business
acumen. Use data to inform strategic
business decisions, identifying market
trends and business opportunities.

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5 high-paying career paths in data science

  • 1. 5 HIGH-PAYING CAREER PATHS IN DATA SCIENCE Data Scientist: Dive into data to extract insights using statistical analysis and machine learning. Drive decision-making processes with predictive modeling. 1stepGrow.com Machine Learning Engineer: Focus on designing and implementing machine learning applications. Develop algorithms that enable machines to take actions without being explicitly programmed. Data Analyst: Translate numbers into plain English. Analyze data to find trends and provide reports—a crucial role for data-driven decision-making in businesses. Data Engineering: Build and maintain the architecture (databases, large-scale processing systems) that allows for the efficient analysis and processing of data. Business Intelligence Analyst: Combine data analysis with business acumen. Use data to inform strategic business decisions, identifying market trends and business opportunities.