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Data Scientist (Internship)

Stáž(4 až 6 měsíce/měsíců)
Paris
Plat: Neuvedeno
Žádná práce na dálku

Wiremind
Wiremind

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CONTEXT

At Wiremind, the Data Science team is responsible for the development, monitoring and evolution of all ML-powered forecasting and optimization algorithms in use in our Revenue Management systems. Our algorithms are divided in 2 parts:

  • A modelling of the unconstrained demand using ML models (e.g. deep learning, boosted trees) trained on historical data in the form of time-series

  • Constrained optimizations problems solved using linear programming techniques

The team is now entering a scaling phase where we will face the challenge to stay agile in terms of innovation while supporting and closely monitoring deployed algorithms.

This rapid growth comes with a multiplication of data sources and deployed predictive models. In order to maintain high prediction accuracies and ascertain data quality, we are looking for a highly motivated data scientist intern to join our team.

WHAT YOU WILL DO

You will be joining a team shaped to have all profiles necessary to constitute an autonomous departement (devops, software and data engineering, data science, AIML, operational research).

There, you will leverage state-of-the-art AI/ML methods and ironclad validation processes to deliver robust, interpretable prediction systems.

As a Data scientist intern, you will work on the following topics:

  • Designing/training of new models (neural networks or decision trees) to improve our current models in production

  • Tackling railway demand specific challenges: imbalanced data, skewed data distributions, features engineering

  • Performing in-depth model evaluation: to properly assess model performance and comparison with other models.

  • Taking part in the improvement of our training pipeline framework.

  • Survey state of the art models / practices in our domain specific applications.

TECHNICAL STACK

  • Python 3.7+

  • KubeFlow over an auto-scaled Kubernetes cluster for orchestration

  • Druid as datastore

  • Common ML libraries: TensorFlow/Keras, LightGBM, XGBooost, Pandas, Dask, Dash

  • Gitlab for continuous delivery


Požadavky na pozici

WHAT MATTERS TO US

  • Current studies (at least Master I) related to the following fields: data science, computer science, applied mathematics.

  • Good understanding of basic machine learning tasks (classification, regression) and mathematical concepts behind it

  • Good understanding of basic evaluation metrics : accuracy, recall, precision, RMSE,….

  • Hands-on experience with python language and standard data tools: Pandas, NumPy

  • Strong curiosity and desire to learn

WHAT WOULD BE A PLUS

  • Strong computer science background in Python,

  • A good experience in model development (Kaggle, class or personal projects,..)

The position is based in the city center of Paris (Etienne Marcel metro station). We offer attractive pay packages depending on profile, closely linked to your performance and the growth of the company.

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