You manage the development of machine learning models while ensuring data quality and integration. Collaboration with the inventory and product teams is essential as you lead a dedicated development team on data projects.
Anforderungen
- •Degree in Computer Science or Mathematics
- •Proven experience with agile teams
- •Hands-on experience in Python and SQL
- •Previous exposure to data science
- •Good communication skills in English and German
- •Prior experience in marketing technology
Deine Aufgaben
- •Lead development of ML models for forecasting.
- •Oversee data integration and quality management.
- •Act as liaison with inventory and product teams.
- •Coordinate a development team on data modeling.
Original Beschreibung
# Technical Data Product Manager
**Seestrasse 39, Küsnacht, Switzerland** | **Full time** | **Hybrid**
We are looking for a highly motivated and technically proficient Technical Data Product Manager to join our team, with a specific focus on Inventory. This pivotal role, at the intersection of data science, engineering, and business strategy, directly impacts our ability to maximize the value of our media inventory.
As our Technical Data Product Manager for Inventory, you will shape and execute the product strategy for our core inventory data assets and solutions. Your work will directly contribute to enabling advanced targetings, driving inventory monetization, and automating inventory processes.
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* ML-based Forecasting & Pricing: Lead the development of machine learning models for inventory forecasting and dynamic pricing strategies.
* Data Management: Oversee data integration, quality, quantification, and enrichment of inventory data.
* Stakeholder Collaboration: Act as the primary liaison with Internal Inventory Management, BI, and Product Owners from Delivery and Order Management teams.
* Execution: Coordinate a dedicated development team, including a Data Scientist, and be hands-on with data modeling in SQLmesh.
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We seek a blend of strong technical acumen, product leadership, and a passion for data:
* Background: Ideally a degree in Computer Science, Mathematics, or a similar quantitative field.
* Experience: Proven experience working with agile development teams.
* Technical Skills: Hands-on experience in Python, SQL (ideally DBT/SQLmesh), and orchestration tools is desirable.
* Data Science: Previous exposure to data science.
* Communication: Good communication skills; Ideally English and German.
* Domain Knowledge (Ideal): Prior experience in marketing technology, demand forecasting, or pricing is a big advantage.