MOLLKOM / AI & machine learning
Senior Applied Scientist, Commerce Decisioning
Connect recommendations and marketing decisions to testable hypotheses and interpretable outcomes.
The mission
Improving one metric does not explain the whole commercial effect. Work on decisioning, recommendations and experimentation while considering acquisition cost, margin, customer experience and data availability.
What you’ll work on
- Frame ranking, recommendation and decisioning problems around concrete business needs.
- Design A/B tests and causal analysis where data and experimental design support it.
- Connect commercial outcomes with cost, quality and operational sustainability.
- Partner with product and engineering to turn findings into interpretable, reviewable decisions.
What you bring
- Applied statistics, machine learning or data science experience.
- Strong Python, SQL, experimental design and uncertainty analysis.
- Understanding of confounding, selection bias and attribution limits.
- Ability to communicate with technical and commercial teams without hiding data limitations.
SHOW YOUR THINKING
Let your work start the conversation.
Share an experiment or decision model, its metrics and what can and cannot be concluded.
Share public links or a short explanation without disclosing confidential information from previous work.
About Mollkom
Mollkom is an AI-enabled commerce operating environment. We connect product preparation, content, marketing and customer service with orders, inventory, point of sale and delivery, so the steps work from shared knowledge.
Meet the platform