Head of SAP (logistika)
- Košík
- Praha hl.m.
- Dohodou
Jsme jednou z největších e-commerce firem v České republice a expandujeme do zahraničí. Nejvíce hrdí jsme na to, že zákazníkům nabízíme jednu z nejkvalitnějších služeb na evropském trhu. V Košíku…
DODO is unstoppable! 🚀 We are a technology and logistics service for e-commerce, retail, restaurants, and fast food, and within a few years, we have become one of the largest last-mile delivery providers in Europe. We currently operate in 6 markets where we partner with the biggest clients to help them deliver their goods to their customers as quickly as possible, so our service must be one step ahead of the rest of the market. We use advanced technology and are developing our own logistics platform, GAIA, which facilitates real-time data collection. This enables us to deliver goods faster, more efficiently, and more sustainably.
And who are we looking for?
We are seeking a skilled and experienced Data Scientist to spear the development of exciting Data Science projects and lead the building of a data science team. The ideal candidate will have a proven track record of successfully delivering end-to-end data science projects, demonstrating both technical and business expertise, experience in project leadership including communication with stakeholders, talent in team leadership, and desire to apply his skills in one of the leading last-mile delivery companies in Europe.
The successful candidate will be responsible for leading the planning, execution, and delivery of impactful data science projects, ensuring alignment with organizational goals, and delivering actionable insights. This role involves applying a deep understanding of statistical modeling, machine learning algorithms, and innovative data analysis techniques. Additionally, the candidate will be tasked with managing and mentoring a growing data science team, fostering a collaborative and innovative work environment, providing guidance on project priorities and technical challenges, and conducting regular performance evaluations. Effective communication of complex technical concepts to non-technical stakeholders is crucial, as is collaboration with cross-functional teams, including BI analysts, engineers, and business leaders, to ensure seamless integration of data science solutions. The emphasis is on driving project delivery, building and managing the data science team, and fostering effective communication and collaboration across the organization.
Data stack:
Jsme jednou z největších e-commerce firem v České republice a expandujeme do zahraničí. Nejvíce hrdí jsme na to, že zákazníkům nabízíme jednu z nejkvalitnějších služeb na evropském trhu. V Košíku…
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