Data scientist / Data analyst

We are looking for a Data Scientist to boost our ongoing industrial IoT product development project by analyzing the telematic data continuously gathered by our PoC devices to find patterns that will help us improve our solution. We will rely on you to build data products not only to support ongoing operations but also to extract valuable business insights for improvments and future innovation efforts. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. One of the key success factors of your efforts could be the ability to identify the importance of the different signals our devices measure to help our team to use edge computing to preprocess and optimize data in constrained environments (e.g. battery powered sensors). This position is best defined as the first data scientist position at a product startup (although technically the company is a large enterprise).

Main tasks

  • Undertaking data collection, preprocessing and analysis
  • Interpret data, analyze results using statistical techniques
  • Presenting information using data visualization techniques
  • Building models to address business problems
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Work with management to prioritize business and information needs

Requirements

  • Proven experience as a Data Scientist or Data Analyst
  • Analytical mind and business acumen
  • Problem-solving aptitude
  • Proven skills to use at least one programming language, such as Python or R.
  • Excellent communication and presentation skills
  • Strong math skills (e.g. statistics, algebra)
  • At least BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Details of position

Job ID: 463
Position name: Data scientist / Data analyst
Place of work: 1238 Budapest, Helsinki út 105.
Job contract type: Indefinite
Weekly work hours: Full time (8hs)
Share or save this position to your favorites: Data scientist / Data analyst