Warning Ovaj oglas je istekao
Back
Data Scientist (Studentski posao)
Porsche Digital Croatia
Share
Warning Ovaj oglas je istekao
📍 Rad od kuće
📍 Zagreb
🌐 Hibridno
🎓 Student job/Internship
💰 Od 7 do 10 €/h
Poslodavac
Janja Ciglar
Porsche Digital Croatia
Bok! Hvala na interesu i prijavi. Pregledat ćemo tvoju prijavu i javiti ti se u što skorijem roku 🤗
Poruke PRIJAVI SE


Data Scientist (Studentski posao)
Porsche Digital Croatia
Oglas
OPIS POZICIJE
Who are we? 

We're a group of experts with diverse backgrounds and competences, united by a common goal: creating top-notch digital products for Porsche.

If you share our passion for data-driven innovation and want to contribute to Porsche's technological advancement, keep reading.

As part of our Advanced Analytics and AI team, you'll tackle real-world challenges from the automotive industry. This involves working on vehicle data, including production fleet, battery systems, autonomous driving and drive system components within Energy, Drive and FAS/HAF domains.

Who are we looking for? 

Qualifications & Experience 
  • final years of computer science, mathematics, physics (or related fields) studies 
  • understanding of statistics, data analytics, and IT  
  • knowledge of Python, SQL, and data processing   
  • understanding of big data technologies (ML Workspace), Spark, and Apache Big Data stack  
  • understanding of visualizing data using visual analytics tools (e.g., Tableau, Data Studio, PowerBI, Qlik) 
  • excellent command of written and spoken English 
  • excellent decision-making and problem-solving skills 


Your responsibilities
  • communicating predictions and findings through effective data visualizations and reports 
  • working on exciting projects with a German car manufacturer 
  • gaining customer behavior insights from real data from a car 
  • finding patterns and relationships in data 
  • using real-time analytics 
  • solving optimization problems 
  • approaching high-level challenges with a clear eye on what is important 
  • detailing your techniques and discoveries to technical and non-technical audiences in a language they can understand 
  • generating interesting research questions that will enhance our understanding of the matter at hand 
  • using statistical methods and mathematical models to prepare data for use in prediction and interpretation 
  • efficiently managing your time and resources to meet project deadlines 
  • collaborating with project members with different backgrounds on a daily basis 
  • proactively communicating with other team members and project stakeholders 
Poruke PRIJAVI SE
Poruke PRIJAVI SE