Data Scientist
Docsity 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.
The 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.
About this role You will collaborate closely with interdisciplinary teams to design and implement advanced AI solutions that drive decision-making and innovation.
Your daily activities will include:
Analyze raw data: assessing quality, cleansing, and structuring for downstream processingDevelop architectures to streamline data science processesSupport initiatives for data integrity and normalizationPromote data-based decision-making across the company through reports and presentationsDevelop insightful dashboards to track performancesMinimum Requirements: Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.
)Fluency in Python, Pandas, and database technology (SQL, schema design and query optimization techniques)Experience in Large Language Models APIs and related frameworks like LangChain, LandGraph, LlamaIndex, or other Copilots frameworksUnderstanding of full software development life cycle and agile developmentProficiency in Italian and English (B2+)Nice to have Experience in quantitative analytics or data modeling is a plusExpertise in using BI tools (e. g.
Looker, Looker Data Studio, Tableau, AWS QuickSight)Experience on E-commerce and digital marketing metricsExpertise in using scalable analytics techniques (e. g. , PySpark, Dask, Modin, Koalas) and MPP databases (e. g. , BigQuery, Redshift, Snowflake) for complex data assembly and transformationWhat's in it for you? Work with tons of data, to which you will have full accessWork closely with all functions within the organizationWork in a highly skilled, organized and cross-functional Data TeamOpportunity to grow personally and professionally through training and peer interactionHybrid work structure: 3 days in the office and 2 days of smart working per weekPlace of work: Lungo Po Diaz, Torino
Salary and contract based on seniority.
Seniority levelEntry level
Employment typeFull-time
Job functionInformation Technology and Engineering
IndustriesMarketing Services and Business Consulting and Services
#J-18808-Ljbffr
Diventa il primo a rispondere a un'offerta di lavoro!
-
Perché cercare un lavoro con PostiVacanti.it?
Ogni giorno nuove offerte di lavoro È possibile scegliere tra un'ampia gamma di lavori: il nostro obiettivo è quello di offrire la più ampia selezione possibile Ricevi nuove offerte via e-mail Essere i primi a rispondere alle nuove offerte di lavoro Tutte le offerte di lavoro in un unico posto (da datori di lavoro, agenzie e altri portali) Tutti i servizi per le persone in cerca di lavoro sono gratuiti Vi aiuteremo a trovare un nuovo lavoro