How to switch from Petroleum Engineer to Data Scientist
Based on real labor market data. See the skills you already have, what you need to learn, and how to bridge the gap.
From
Petroleum Engineer
Devise methods to improve oil and gas extraction and production and determine the need for new or modified tool designs. Oversee drilling and offer technical advice.
To
Data Scientist
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Tools you can carry over
Technologies the Data Scientist role uses that you likely already know from Petroleum Engineer work.
Tools to pick up
The technologies most specific to the Data Scientist role that a Petroleum Engineer background usually does not cover yet.
Frequently asked questions
Can I switch from Petroleum Engineer to Data Scientist?
Yes. The readiness check maps your specific skills against the Data Scientist role and builds a plan for the gaps, even where we don't yet have a broad knowledge-area comparison for this pairing.
What do I need to learn to become a Data Scientist?
Coming from Petroleum Engineer, the tools most specific to the Data Scientist role are Amazon Elastic Compute Cloud EC2, Amazon Redshift, Amazon Web Services AWS software, Microsoft SQL Server, PyTorch. The readiness check compares your own skills against the role and shows the exact gaps to close.
How long does it take to transition from Petroleum Engineer to Data Scientist?
It depends on your current skills. Acelro builds a personalized roadmap around your specific gaps, so you only learn what you need.