Data Scientist vs Product Designer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Data Scientist
Analyse large datasets and build predictive models to drive decisions.
Product Designer
Design end-to-end product experiences across digital touchpoints.
Data Scientist earns more on average โ the national median is $16,230/year (16%) higher than a Product Designer. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
Data Scientist vs Product Designer โ Salary by City
National median figures in USD across top cities.
| City | Data Scientist | Product Designer | Difference |
|---|---|---|---|
| San Francisco, CA | $176,777 | $152,323 | Data +$24,454 |
| New York, NY | $135,980 | $124,352 | Data +$11,628 |
| Seattle, WA | $173,186 | $152,056 | Data +$21,130 |
| Austin, TX | $130,733 | $119,558 | Data +$11,175 |
| Chicago, IL | $132,415 | $109,818 | Data +$22,597 |
| Boston, MA | $156,115 | $139,034 | Data +$17,081 |
| London, UK | ยฃ78,216 | ยฃ83,576 | Data $5,360 |
| Toronto, Canada | CA$134,265 | CA$134,572 | Data $307 |
Frequently Asked Questions
Does a Data Scientist or Product Designer earn more?+
A Data Scientist earns more on average. The national median salary for a Data Scientist is $120,230/year, compared to $104,000/year for a Product Designer โ a difference of $16,230 (16%).
Which has better career growth โ Data Scientist or Product Designer?+
Data Scientist roles are growing at 36% YoY while Product Designer demand is growing at 22% YoY. Data Scientist has stronger near-term demand growth.
Can you switch from Data Scientist to Product Designer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate โ Data Scientist or Product Designer?+
Product Designer has a lower AI automation risk (36% vs 40%). Based on Oxford Martin School and McKinsey 2023 analysis.