Senior Data Scientist (Budapest)

Senior Data Scientist (Budapest)
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The role of Senior Data Scientist will drive successful data strategy formation and execution of these initiatives, support activities to implement robust, enterprise grade and futureproof data analytics solutions. Support design, implementation and lifecycle management processes of Machine Learning / IoT solutions in alignment with the IT strategy to ensure the satisfaction of internal business stakeholders, employees and users of IT systems and infrastructure.


  • Deliver data strategy and data models to deliver increased personalisation and convenience
  • Support the execution of business, functional and BI / Big Data / IoT strategy in Consumer Services
  • Support initial data collections, identification of data quality problems to discover first insights into the data or to detect meaningful subsets to form hypotheses for hidden information
  • Participate in data transformation, feature selection and data cleansing activities against raw initial data to construct final dataset for modelling
  • Participate in selection of relevant modelling techniques and training and testing various algorithms, evaluation accuracy and performance of different approaches to form final solution
  • Prepare and perform data analysis services based on known and unknown data for known and unknown business questions
  • Participate in solution handover to Data Engineers, IT Application & Infrastructure Operations teams
  • Support Quality Assurance processes with dedicated attention to proper and up-to-date documentation, prepare and execute CRs, conduct 3rd level support to manage lifecycle of solutions
  • University or college degree or equivalent work experience
  • Higher professional in Computer Science, Mathematics, Statistics, Economics
  • Minimal of 5 years data engineering, data science, data warehousing or business intelligence experience
  • Knowledge of predictive and prescriptive algorithms and their mathematical / statistical background
  • At least working experiences in one of the followings:
    • Statistical programming languages: Python, Scala, R
    • Writing SQL and No SQL queries (PL SQL, T-SQL, Hive, Impala)
    • Business Intelligence platforms such as PowerBI, Qlikview or Tableau
    • Familiar with agile, scrum or other rapid application development method
    • English (upper-intermediate)
    • Attractive benefit package
    • Flexible working hours / ordinary time between 10-15h
    • Home Office
    • Dynamically developing multinational environment



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