**Key responsibilities** - Data strategy: Co-define a strategy to acquire and enrich data at scale from heterogeneous sources. - Data pipeline: Design, implement, automate and monitor new data ingestion pipelines. Fusion multiple data sources and enrich this data using AI. Ensure data quality, consistency, and security across the platform. - Matching: Implement a research / recommendation engine for our platform. - Product development: Explore new product opportunities and features (AI, automation…) with the product and business team. - Project management: Run project monitoring, analytics and reports. At Sesamers, we are on a mission to empower the European Tech. We are helping startups be successful and connecting the world’s innovation through tech events and digital experiences. We are a rapidly growing startup and want to accelerate our expansion. - Impact & ambition. Join us to transform the innovation landscape in Europe - Opportunity and impact. Because we’re still a small team, you have a lot of room to experiment. You’ll be free to contribute to the processes, the tools and the organization of the team. - International reach. Our audience is widely international, and our team is too. Although our HQ is located in France, our company language is English
**What we are looking for**
– Pursuing a degree in Computer Science, Data Science, or a related field.
– Strong analytical skills and data-driven thinking
– Perfectly fluent in English (French is a plus)
– Demonstrating team spirit & great communication skills
– Problem-solver mindset with a deep understanding of the business stakes
– Humble and curious with a big appetite to learn, discover and experiment new things
– Experience with data transformation, database & data warehouse
Women and people from minority backgrounds tend to only apply to positions where they meet 100% of the criteria. If you think you have what it takes to be a good candidate for this position, we encourage you to apply even if you don’t meet all formal criteria.
– Hiring manager interview with the CPO
– Data Engineering test
– Call with another founder
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