Data Scientist, Pricing

📋 Description

• Own analytics behind pricing and packaging
• Build unit economics and price sensitivity models
• Design and run pricing experiments
• Build systems to operationalize pricing decisions
• Collaborate with finance, product, and growth

🎯 Requirements

• Commercially-minded owner of pricing outcomes
• Economics fluency: LTV, margin, WTP, costs
• SQL and Python with applied statistics
• Experience with experimentation and A/B testing
• Systems builder for pricing models
• Strategic judgment on growth vs monetization

🎁 Benefits

• Join a small, fast-moving team in Stockholm
• Autonomy and collaboration across finance, product, growth
• Tech stack includes SQL, Python, BigQuery, PubSub