
Data Science Initiative Lead
4 dni temu
Lead large-scale data science initiatives at regional or global level, defining business requirements and leading the analytical team towards implementation. Transform business needs into analytical concepts and translate those concepts into tangible business value.
Main Responsibilities:
- Define problems and structure solutions, improve processes, and find new development paths.
- Lead the business-side of new projects or rollouts and present results to stakeholders with a non-technical background.
- Assess priorities coming from multiple businesses and technical stakeholders to set clear priorities for the analytical team.
- Work across functions with supply chain directors, demand planners, data engineers, and data scientists to ensure high-quality deliverables of an analytical product.
- Prepare sufficient documentation of business requirements, processes, and agreements.
- At least 4 years of experience in a similar position (product manager, business project owner, project manager, business consultant, business analyst, etc.).
- Strong analytical skills and deep understanding of the business to effectively utilize data for justifying assumptions and providing data-driven recommendations.
- Technical and business experience to effectively communicate opportunities and risks of analytical solutions to business executives, analytical team, and operations.
- Knowledge of agile project management methodologies (e.g., SCRUM, KANBAN).
- Knowledge of tools like Azure Boards/JIRA, Excel. Having Power BI and SQL skills would be advantageous.
- Fluent business communication in English (min. B2).
- Knowledge of basic Data Science concepts.
- Knowledge within the area of Supply Chain Forecasting would be advantageous.
- Exciting work in a multi-cultural team of bright minds – data lovers and practitioners.
- Flexible remote work options or access to a modern office in Warsaw's Mokotów, walking distance from Metro Wilanowska.
- Internal training programs and access to external knowledge resources aimed at expanding your skills and competence.
- Support in building your ML skills and portfolio through participation and presenting at conferences and events.
- Opportunities to develop further in our Data Science Hub as well as in the international organization.
- Option of full-time contract.
- All kinds of fringe benefits: private medical care, pension fund, cafeteria program, Multisport card, co-financing of meals in the company's canteen, discounts for Nestle products.
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