Senior Data Scientist
- PLACE OF WORK
- 1112 Budapest, Boldizsár utca 2.
- AREA OF EMPLOYMENT
- IT
- START OF WORK
- as soon as possible
- EMPLOYMENT TYPE
- Full-time
Your responsibilities:
Your Job
What you give your best for.
- Collaboration with business partners in the development of new approaches to achieving goals using state-of-the-art techniques and tools (including AI models, generative AI and/or applied statistics)
- Efficient communication of the analytical approach and of how the goals can be achieved through presentations, reports, or similar formats
- Advocacy and education about the value of data-driven decision-making, with a focus on the “how and why” of problem-solving—e.g., demonstrating the value using revenue KPIs or cost savings
- Leading analytical approaches and integrating the work into applications and tools together with data engineers, executives, analysts, and developers
- Creation of repeatable, interpretable, dynamic, and scalable analytical models that are seamlessly integrated into analytical data products (from data interfaces to fully integrated web front ends, for example)
- Development of functions to find new ways to combine different internal and external data sources
- Identification and development of long-term processes, frameworks, tools, methods, and standards
The knowledge I own:
Your Profile
What you should have.
- Academic background in data science, computer science, engineering, or statistics
- Proven skills in data science and strong knowledge of Python (especially PySpark), as well as experience writing complex SQL queries
- Mastery of machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems using large datasets
- Demonstrated ability to combine diverse internal and external datasets and use them in a wide range of analyses and modelling tasks
- Experience with big-data technologies (preferably Azure and/or Databricks) and with data visualization tools, preferably e.g., Tableau
What is considered desirable
- Experience with retail data models and processes (especially in the areas of purchasing, marketing and/or planning)
- Experience with long-term analysis and demand/sales forecasting
- Experience with data science use cases in the supply chain or in finance
- Experience working with customer data from mixed systems
The offer that would convince me:
- Permanent contract with attractive compensation package
- High degree of personal responsibility and varied activities from day one
- International environment with colleagues from all over the world
- IT projects that set new standards in the retail industry
Online application:
Please use our online application and attach your English resume.