Numa

Data Scientist

• Design, implement, and iterate on pricing, demand forecasting, and elasticity models under the guidance of the Product Manager.
• Analyze large, noisy datasets to identify high-impact pricing levers (day-of-week effects, events, demand compression, competitor pricing, LOS controls, overbooking effects).
• Build models that balance statistical rigor with operational constraints — accuracy and robustness matter more than theoretical elegance.
• Support fast experimentation cycles by defining model changes, success metrics, and analytical readouts.
• Own post-experiment analysis: causal inference, uplift estimation, and clear, data-backed recommendations to the PM.
• Prepare models for production use: stability checks, explainability, edge-case handling.
• Contribute to logic for event detection, demand shocks, and high-compression periods.
• Translate analytical results into clear, implementable pricing logic for engineers and the Product Manager.

Lead Data Scientist – Pricing & Revenue Optimization

Sales

• Identify and contact potential clients via phone and email to generate new business opportunities.
• Develop and maintain a comprehensive database of prospective leads and clients.
• Research and establish targeted lead lists based on industry, market, and company criteria.
• Analyse market trends and identify potential gaps to refine lead lists.
• Craft compelling sales offers tailored to client needs and industry standards.
• Conduct sales presentations and negotiate contract terms to successfully close deals.
• Design and implement targeted sales campaigns to increase brand awareness and generate leads.
• Collaborate with the marketing team to align campaign strategies with business objectives.
• Monitor and report on sales activities and campaign outcomes to senior management.
• Provide accurate forecasts and updates on sales metrics and KPIs.

Lead Data Scientist – Pricing & Revenue Optimization

Sales Manager, German and English speaking