Senior Data Scientist, Growth Alliance (m/f/d)
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SeniorFull-time
#434938·Dodano 7 miesięcy temu·0
Źródło: HelloFreshTech Stack / Keywords
machine learningregressionclassificationclusteringrecommendation systemsA/B testingpersonalizationmarketing technologydata scienceexperimentation
Firma i stanowisko
HelloFresh operates HelloTech, a global technology backbone with over 1000 people, building digital products that power their end-to-end food experience including meal kits, ready-to-eat meals, pet food, and premium meat & seafood. The company uses a subscription-based, direct-to-consumer model relying heavily on technology for customer-facing apps, personalization, pricing, forecasting, supply chain optimization, and food waste reduction. The Conversions Tech area, part of the Growth Alliance, focuses on driving growth through marketing technology and product innovation to optimize (re)acquisition and conversion funnels.
Wymagania
- 5+ years of professional experience in data science or related quantitative fields.
- Strong foundation in machine learning concepts relevant to personalization and marketing communications.
- Hands-on experience with regression, classification, clustering, recommendation systems, and experimentation.
- Practical experience designing and analyzing A/B tests and controlled experiments.
- Experience with customer behavior data and segmentation.
- Extensive experience working in production environments and collaborating closely with engineers.
- Clear, structured communication skills and a collaborative mindset.
Obowiązki
- Build and iterate machine learning models powering personalization in production for conversion pages.
- Execute decisioning models determining optimal next steps for users in conversion funnels.
- Coordinate with Engineering to integrate data science solutions into overall funnel architecture.
- Collaborate with Product and Engineering to embed ML-driven decisions and handle failures.
- Design and direct experiments for decisioning models, defining success metrics and interpreting results.
- Monitor and maintain model safety and performance in production, addressing data reliability and latency issues.
Benefity
- Global collaboration with experienced engineers and product partners across international teams.
- Opportunity to build and operate modern systems supporting millions of customers and complex supply chains.
- Influence architecture, design, quality, and ways of working in an autonomous, product-led environment.
- Drive decisions from problem definition to production for scalable systems.
- Access to workspace at Warsaw Centre Point with modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments like coffee, soft drinks, and fruit.
Prysznic
Parking dla rowerów
Napoje w biurze
Darmowe przekąski
HelloFresh
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