Sustainability Data Scientist

Apply advanced data science and machine learning techniques to analyze large-scale environmental and sustainability datasets, build predictive models for emissions forecasting and resource optimization, and develop automated data pipelines for ESG reporting. Design algorithms to identify patterns in energy consumption, supply chain emissions, and environmental performance data that drive actionable sustainability insights. Collaborate with sustainability and technology teams to build scalable data infrastructure.

Median salary: $135,000. Projected growth to 2033: 18% (much faster than average) - driven by ESG data automation and AI adoption. Typical education: Master's Degree.

At a glance

Median salary: $135,000
Entry-level: $90,000 - $115,000
Senior: $195,000+
Growth by 2033: 18% (much faster than average) - driven by ESG data automation and AI adoption
Demand: Growing Fast
Remote: Mostly Remote
Hours per week: 40-50 hours/week
Stress: Moderate

What you'd do

People interaction: Moderate
Team vs solo: 55% Team / 45% Solo
Client facing: Sometimes
Impact visibility: High

How to get there

Minimum education: Master's Degree
Licensing: No
Years to mid-career: 3-5 years
Years to senior: 7-10 years
Career switching: Moderate
Typical student debt: $35,000 - $70,000

Skills you'll use

Hard skills

Python & R for Environmental Data Analysis
Machine Learning for Emissions Forecasting
SQL & Cloud Data Platforms (AWS / GCP / Azure)
ESG Data Pipeline Automation
Satellite & Remote Sensing Data Analysis
LCA & Material Flow Data Modelling

Soft skills

Analytical Thinking
Data Storytelling
Cross-Functional Collaboration
Problem-Solving
Attention to Detail

Technical complexity: Very High

Typical career path