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Data Scientist & Machine Learning Engineer


Scientist (Zagreb)

Be an Xpander

Data Scientist & Machine Learning Engineer

* Please note that most of the time you’ll work fully remote, except in occasional circumstances. 

At  Xpand IT, the Data Science business unit role is to solve new technological challenges, combining software engineering, statistics, and artificial intelligence expertise. This skill set allows performing extensive data analyses to identify patterns and behaviours in order to try to solve challenging and diverse data-driven problems.


As a Data Scientist at Xpand IT, you’ll have the opportunity to work on real-world problems in some of the top industries: Banking, Telecommunications, Retail, among others. Your mission will always be to retrieve meaningful insights from data, by applying data science techniques such as predictive modelling, pattern recognition and machine learning to specific problems.

Your daily activities will include: 

  • Capturing, transforming and standardising raw data into intelligible and relevant information
  • Developing data processing software in programming languages such as Python and R
  • Researching, analysing and implementing state-of-the-art algorithms in order to make the best use of the dataset under analysis
  • Using predictive and statistical distribution models
  • Conducting Exploratory Data Analyses and preparing reports based on it and logical conclusions

// Stacks: Python/ R, NumPy, SciPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, SQL

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  • MSc/BSc in a relevant area with a sound programming foundation
  • Knowledge of statistics and mathematical concepts such as probability theory, distributions, hypothesis testing
  • Knowledge or experience in machine learning: classification, clustering, feature engineering
  • Programming skills in python/ R and knowledge of common numerical and machine-learning packages (NumPy, SciPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, PySpark)
  • Knowledge of SQL, data manipulation and visualisation techniques
  • Sound communication skills in English (written and spoken)

// Will be a nice plus if you have: 

  • Passion for data and its preparation and conversion (raw -> readable -> feature engineering)
  • Experience in text analytics
  • Team player and problem-solving skills 
Python / R
NumPy, SciPy, Pandas

Apply here

Data Scientist & Machine Learning Engineer
Gonçalo Costa, Data Scientist
@Xpand IT

I have exposure to different business domains and to different technologies while working on a fascinating field such as this one. There is a need to elaborate on creative and functional solutions to different problems on a daily basis. Solving each one of these, make us more prepared for tomorrow’s challenges.