Requirements

Operating system

Windows

Our requirements

• Technology-Centric Role: Deep involvement in technological aspects with a hands-on approach to problem-solving and implementation
• Hands-On Modeling Expertise: Ability to build initial models independently and maintain strong technical proficiency in connecting various data work models
• Proficient Technical Skills: Demonstrated expertise in SQL, Artificial Intelligence (AI), and Machine Learning (ML)
• Technical Execution Focus: Emphasis on technical execution and implementation, with a foundational understanding of business needs. Less emphasis on extensive business interaction
• Experience with Critical Projects: Proven experience or capacity to contribute to key projects such as catalogue monitoring and duplicate reduction
• Collaborative Approach: Ability to work closely and effectively with merchant technology teams
• Strong Data Technology Experience: Significant experience in various data technologies

Your responsibilities

• Hiring, leading and developing data leaders/managers to execute data vision and to ensure that the product portfolio serves the most impactful customer needs
• Managing a small team of Data Scientists and Data Engineers directly
• Working on different (Heuristics and ML) models through team that impact allegro Product Catalog Quality (like reducing duplicates or miss-categorization of products)
• Work closely with different Business, Product and Technology teams to improve value of products for customers and partners by providing high quality data inputs
• Identifying areas of innovation and finding ways to use new technologies to improve processes and results
• Fostering the creation of an Analytics community across Allegro (incl. Products Analytics, Commercial Analytics, AI, Operations Analytics, Marketing Analytics Teams) and ensures aligned standards across Allegro
• Cooperating with AI Product Development and Big Data Area to improve the quality of processes and the effectiveness of tools used in analytics
• Initiating and supervising strategic projects to achieve ambitious business and product goals in the next 2-3 years and beyond
• Defining and recommending meaningful, well defined KPIs and metrics, both in terms of product, business values and technical aspects of them
• Providing descriptive and diagnostics analytics (what happen and why did it happen) and performing predictive and prescriptive analytics (what is likely to happen and what should be done)
• Securing a budget and resources for the team based on a clear value proposition