Data Scientist

Description
In this role you will be responsible for building machine learning based systems and conduct data analysis that
improves the quality of our large geospatial data. You ll be developing NLP models to extract information,
using outlier detection to identifying anomalies and applying data science methods to quantify the quality of
our data. You will take part in the development, integration, product ionisation and deployment of the models
at scale, which would require a good combination of data science and software development.

Responsibilities
Development of machine learning models
Building and maintaining software development solutions
Provide insights by applying data science methods
Take ownership of delivering features and improvements on time

Must-have Qualifications
Strong programming skills and extensive experience with Python
Professional experience working with LLMs, transformers and open-source models from Hugging
Face
Professional experience working with machine learning and data science, such as classification,
feature engineering, clustering, anomaly detection and neural networks
Knowledgeable in classic machine learning algorithms (NLP, SVM, Random Forest, Naive Bayes, KNN
etc).
Experience using deep learning libraries and platforms, such as PyTorch
Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
Excellent analytical and problem solving skills
Excellent oral and written communication skills

Extra Merit Qualifications
Knowledge in at least one of the following: NLP, information retrieval, data mining
Ability to do statistical modeling and building predictive models
Programming skills and experience with Scala and/or Java

Let s celebrate work! Join us!