Marketing Data Scientist
Impact: Marketing ROI and budget efficiency through expert data science and statistical modelling
Apply advanced statistical modelling, machine learning, and data science techniques to solve marketing problems. Build attribution models, customer segmentation systems, churn prediction models, and marketing mix models that help marketing teams make better decisions and allocate budgets more effectively.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Team / 40% Solo
- Client facing
- Sometimes
- Impact visibility
- Moderate
- Travel
- 5 to 10% for team off-sites
- Schedule flexibility
- Flexible
- Remote work
- Hybrid
- Typical work hours
- 40 to 55 hours/week
- Stress level
- Low
At a glance
- Median salary
- $200,000
- Entry-level
- $120,000 - $155,000
- Senior
- $320,000+
- Growth by 2033
- 28% (faster than average)
- Demand
- Growing Fast
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- Low
Skills you'll use
Hard skills
- 55
Soft skills
- 45
Technical complexity: Moderate
How to get there
- Minimum education
- Master's Degree
- Licensing
- No
- Years to mid-career
- 3 to 5 years
- Years to senior
- 7 to 10 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Data Analyst > Marketing Analyst > Marketing Data Scientist > Senior Marketing Data Scientist > Head of Marketing Analytics
Future outlook
- Automation probability
- 15% low risk as marketing data science requires deep technical expertise
- AI disruption risk
- Low
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 7/10
- Meaning
- 7/10
- Work-life balance
- 6.5/10
- Prestige
- 7/10
- Social perception
- High