ML/AI Engineer to Data Scientist

Summary: 2 of the 6 core skills listed for Data Scientist carry over directly from ML/AI Engineer. The US median salary changes by -15% ($165K → $140K). Difficulty: Challenging, typically around 9 months of focused upskilling.

The two roles

ML/AI Engineer: Build and deploy machine learning models into production systems.

Data Scientist: Extract insights from data using statistical analysis and machine learning. Growth outlook +35%; AI-resistant. Typical education: master. Typical experience: 2-4 years typical entry.

Skills that carry over

• Python
• Machine Learning

Skills to learn for Data Scientist

• Statistics
• SQL
• Data Visualization
• Communication

Salary comparison (median, estimated)

Salary figures are estimates benchmarked against public compensation data — see methodology.

Next steps

Get a personalized analysis of your own skills against Data Scientist — free, no signup needed.

Related

ML/AI Engineer career guide | Data Scientist career guide

Other transitions to consider

• ML/AI Engineer to AI/ML Research Scientist — 3 of the core skills carry over
• ML/AI Engineer to Backend Developer — 5 of the core skills carry over
• ML/AI Engineer to Quantitative Analyst (Quant) — 4 of the core skills carry over
• ML/AI Engineer to Data Engineer — 2 of the core skills carry over
• Data Analyst to Data Scientist — 5 of the core skills carry over
• Data Engineer to Data Scientist — 4 of the core skills carry over
• Business Analyst to Data Scientist — 4 of the core skills carry over
• Quantitative Analyst (Quant) to Data Scientist — 5 of the core skills carry over