PDocsity is an educational community where millions of university students share and find study content to improve their exam preparation. Our mission is to help students to be more effective in their preparation, and connect them with meaningful learning opportunities. /ppWe are managing this recruitment process in collaboration with one of our strategic partner companies, who are looking for talented individuals to join their team. /ppThe ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. /ppAbout the role: /ppYou will collaborate closely with interdisciplinary teams to design and implement advanced AI solutions that drive decision-making and innovation. Your daily activities will include: /pulliAnalyze raw data: assessing quality, cleansing, and structuring for downstream processing /liliDevelop architectures to streamline data science processes /liliSupport initiatives for data integrity and normalization /liliPromote data-based decision-making across the company through reports and presentations /liliDevelop insightful dashboards to track performances /li /ulpRequirements: /pulliBachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) /liliGreat analytical skills and attention to detail, insights-driven attitude /liliFluency in Python, Pandas, and database technology (SQL, schema design and query optimization techniques) /liliExpertise in using BI tools (e.g. Looker, Looker Data Studio, Tableau, AWS QuickSight) /liliUnderstanding of full software development life cycle and agile development /liliProficiency in Italian (B2+) /li /ulpNice to have /pulliexperience in Large Language Models APIs or quantitative analytics or data modeling is a plus /liliExpertise in using BI tools (e.g. Looker, Looker Data Studio, Tableau, AWS QuickSight) /liliExperience on Ecommerce and digital marketing metrics /liliExpertise in using scalable analytics techniques (e.g., PySpark, Dask, Modin, Koalas) and MPP databases (e.g., BigQuery, Redshift, Snowflake) for complex data assembly and transformation /li /ulpWhat’s in it for you? /pulliWork with tons of data, to which you will have full access /liliWork closely with all functions within the organization /liliYou’ll have the unique chance to work on high-impact Data/AI projects within a large-scale organization where your contributions will drive tangible change /liliWork in a highly-skilled, organized and cross-functional Data Team /liliOpportunity to grow personally and professionally through training and peer interaction /liliHybrid work structure: 4 days in the office and 1 day of smart working per week. /li /ul