Jobs in Malta

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BI Data Scientist (m/f/x)

  • Full Time
  • Malta
  • DOE
  • Data
  • Apply By: March 23, 2024

JOB ID: 46004

Job Description

Do you love large volumes of data and have a passion to derive valuable insights from it? Are you a strong problem-solver with great attention to detail and a team player? Do you want your work to have a real impact on the performance of the company?

If so, you are in the right place!

Tipico is looking for a BI Data Scientist who can write codes and is interested in taking over tasks from our Data Science Team. Amongst others, you build a self-service analytics solution and support various stakeholders’ needs by providing insights in various formats (reports, dashboards, and analysis). Being a field expert, the BI Data Scientist needs to understand business challenges and the data maturity of the clients to build the most adapted solution including using Machine learning.

Are you ready to turn up the power and bring the thrill of Spannung into your working life? Then show us your game face – because we’re looking for a BI Data Scientist (m/f/x) to join the team!

Your playing field:

  • Support. You deliver business intelligence solutions and provide thought leadership and technical consultation to the various stakeholders that the team supports.
  • Develop. You occasionally design and develop the ETL processes for the proposed data model and utilize them efficiently.
  • Reporting. You support the business with ad-hoc reporting requests and perform analysis.
  • Algorithms. You model and improve algorithms given a set of business cases and help implement them in production.
  • Data Analysis. You perform complex ad-hoc data analysis and communicate data stories when required.
  • Modeling and testing. You evaluate model output, formulate and test hypotheses, weigh alternatives, and determine appropriate responses. 
  • Proficiency. You demonstrate proficiency in one or more areas of the following areas:
    statistics, machine learning, deep learning, decision trees, clustering, network analysis, graph theory, regression analysis, topological data analysis.