About Us



  • Graduated from Mathematics, Physics, MIS, Industrial Engineering, Computer Engineering, Electrical and Electronics Engineering, Industrial Engineering, Economics or Statistics
  • Master degree is a plus
  • Minimum 3 years of Data Science experience (Data Processing, Machine Learning, Statistical modelling and Big Data Analysis, Prediction Models, Time Series etc.)
  • Strong knowledge of Python, advanced knowledge of at least one of the software tools that can be used in data science such as Hadoop, Spark, Kafka or developed projects with these programs
  • Strong knowlege of SQL
  • Microsoft Azure and Data Factory knowlege will be a plus
  • Experienced in data visualization and data storytelling
  • Proficient in Python visualization libraries and experience in Power BI visualization and end to end reporting in Power BI will be a plus
  • Experienced in data cleaning and data preparation processes
  • Good knowlege in data analysis, modeling, segmentation, forecasting, churn analysis, recommendation systems and knowlege in deep learning will be a plus
  • Open to learning and development by following new technologies in data science and engineering

Job Description:

  • Working closely with stakeholders, deciding and applying which data (inhouse or outsource) and which data science method can solve their problem
  • Use of exploratory techniques (EDA) in this process,
  • Present insights by making opportunity/gap analyzes from historical data
  • Combine, clean and get ready the data to be used for modeling.
  • Use, update and improve regression, simulation, time series, machine learning models
  • Modeling/Analyzing customer data as in churn analysis, customer profitability, lifetime value analysis etc.
  • Use and improve of ML models for price elasticity, stock analysis, location/geography analytics
  • Reporting and visualization by Power BI and python libaries (matplotlib, pyplot etc)
  • Decide the data format in digital transformation projects (SalesForce, Dataroma etc)
  • Support and guide data owners in creating/providing Data Quality and Data Governance processes and blueprints
  • Respond to ad hoc analysis of stakeholders and upper managment

It is important for Vestel to protect your personal data. Therefore, you should review the Vestel Group Companies Personal Data Protection and Processing Policy, which we have shared with the public on our official website covering which personal data we process, for what purpose, and the way we transfer and store it. We would like to inform our candidates working in the recruitment process in detail within the scope of personal data protection. You can reach detailed information about the personal data we collect from you in this process with the Employee Candidate Privacy Notice published on our official website.

Eligible candidates will be invited to following processes: Interviews (HR interview, technical interviews with line managers ) and Tests (General Aptitude, English, Personality Inventory)

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