Data Scientist

We are looking for our next Data Scientist: -Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, Data Science, or;
-Strong foundation in statistical concepts, machine learning algorithms, and data mining techniques;
-Proficiency in programming languages such as Python or R for data manipulation, analysis, and modeling;
-Experience with libraries and frameworks like NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch;
-Ability to clean, preprocess, and wrangle large datasets from various sources;
-Experience with exploratory data analysis (EDA) techniques to gain insights and identify patterns in data;
-Proficiency in building and evaluating predictive models using machine learning algorithms;
-Experience with regression, classification, clustering, and time series analysis;
-Skills in creating meaningful visualizations and dashboards to communicate insights effectively;
-Familiarity with tools like Matplotlib, Seaborn, Plotly, or Tableau;
-Understanding of the business domain and the ability to translate business problems into data-driven solutions;
-Excellent communication skills to present findings and recommendations to technical and non-technical stakeholders;
-Ability to collaborate with cross-functional teams including data engineers, software developers, and business analysts;
-Eagerness to stay updated with the latest advancements in data science and machine learning.
-Fluent in English.

We prioritize:
High standards, professionalism, and dedication; everything else can be learned.

If you're interested in joining our team, send your CV.

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