Data Scientist
Tasks
- Build competitive intelligence models using market signals
- Create dashboards and executive reporting for pricing and ecommerce KPIs
- Define pricing guardrails and constraints
- Develop AI driven pricing strategies
- Develop predictive pricing recommendations
- Implement dynamic pricing models using demand signals
- Lead cross functional pricing rule development and AI adoption
- Measure promotional effectiveness and refine pricing strategies
- Monitor and optimize pricing algorithms
- Optimize pricing across product lifecycle stages
- Optimize pricing and product data for AI search
- Optimize promotions and markdowns using machine learning
- Translate analytics into actionable leadership recommendations
Perks/Benefits
- 401k matching
- Daily pay
- Employee discount
- Flexible benefits
- Medical, dental & vision coverage
- Paid Holidays
- Tuition reimbursement
- Vacation and personal time
Skills/Tech-stack
Average Order Value | Conversion Rate | Conversion rate optimization | Customer Acquisition | Customer Acquisition Cost | Demand forecasting | Dynamic Pricing | ECommerce SEO | Gross Margin | Gross margin optimization | Looker | Machine Learning | Margin Optimization | Power BI | Predictive Analytics | Price elasticity | Pricing Optimization | Python | Rate optimization | Revenue Management | SQL | Structured data | Tableau
Education
N/A
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