Data Scientist — Core Modelling & ML Production

Humankind Global Recruitment

Madrid

On-site

EUR 45,000 - 65,000

Full time

14 days+
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Job summary

Humankind Global Recruitment is seeking a Data Scientist to join the Core Modelling team for an IT consultancy client. You will build, train and evaluate machine learning models, owning your workload while receiving support as needed.

You will work with a small team to process data, create models for prediction and classification, and translate analyses into dashboards and reports using Tableau and Python.

Qualifications

  • Solid grounding in statistics, probability and core ML algorithms.
  • Proficiency in Python including data manipulation with pandas/NumPy.
  • Strong SQL skills for data extraction and manipulation.
  • Experience with data visualization libraries and creating reports in Tableau or similar.
  • Strong teamwork with ability to work independently.
  • Experience in iGaming or predicting human purchasing behavior is a plus.

Responsibilities

  • Cleaning, processing and exploring client data to find the patterns that matter.
  • Building and evaluating Machine Learning models for prediction and classification tasks.
  • Update and retrain existing foundation models as new data comes in.
  • Working on the pipelines that get models from notebook to production.
  • Presenting results clearly for technical and non-technical stakeholders.
  • Turn analysis into reports and visualisations using Tableau and Python.

Skills

Python
Pandas
NumPy
SQL
Data visualization
Tableau
Teamwork
Self-motivation
iGaming knowledge

Tools

Tableau

Job description

Humankind Global Recruitment is seeking a Data Scientist to join the Core Modelling team for an IT consultancy client. You will build, train and evaluate machine learning models, owning your workload while receiving support as needed.

You will work with a small team to process data, create models for prediction and classification, and translate analyses into dashboards and reports using Tableau and Python.

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