SEO Data Scientist

What you'll do

• Develop success metrics, measurement frameworks, and experimentation roadmaps; design and interpret A/B tests and causal analyses.
• Diagnose changes in SEO/AEO performance, including effects from product launches, technical issues, algorithm updates, AI search trends, and external market factors.
• Translate statistical and predictive analyses into recommendations for Product, Engineering, and Business teams.

What they ask for

• Strong command of A/B testing design, causal inference, and experimentation measurement.
• Hands-on proficiency in SQL and one or more analytical programming languages such as Python or R.
• Experience applying statistical methods, experimentation, and machine learning to business problems, including predictive modeling.
• Bachelor’s degree or equivalent experience in a quantitative field such as Computer Science, Mathematics, Economics, Physics, or Engineering; strong communication skills.

Nice to have

• Experience supporting product decisions in e-commerce or consumer technology.
• Familiarity with ensemble models, deep learning, or transformer-based methods; advanced study is a plus.

Pay

$127,600 - $170,300 USD base salary

Tools

SQL, Python, R

AI focus

Analyzes AI search trends and SEO/AEO performance; applies machine learning approaches, including predictive modeling, and may use transformer-based methods.