Competitive Data Scientist - poste à distance

L'entreprise micro1 recrute : Competitive Data Scientist. Le poste relève de la catégorie Data et analytics et se fait entièrement à distance. Aucune restriction n'est posée sur le lieu de résidence du candidat, vous pouvez donc postuler de partout.

Les principaux outils cités dans l'annonce sont les suivants : Python, Machine Learning. Votre CV doit montrer des exemples concrets de ces compétences.

L'entreprise n'a publié aucun chiffre, cela se règle en entretien. L'annonce ne pose aucune condition d'horaires.

Cette offre a passé un contrôle automatique : les annonces qui exigent un permis de travail étranger, un parrainage de visa, une nationalité précise ou une résidence dans un pays nommé n'entrent pas dans la liste.

Role Title: Competitive Data Scientist Pay: $60-$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible-you choose the hours and days you work, including weekends if desired We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitve Data Science experience. (Kaggle, DrivenData, etc.) You’ll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion. What You’ll Do

* Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.

* Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.

* Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.

* Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.

* Document task requirements, solution reasoning, and verification steps clearly.

What We’re Looking For

* Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)

* Strong problem-solving ability and a clear understanding of the methods you use.

* Practical programming ability sufficient to implement and verify your own solutions.

Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench. Huge Pluses

* Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code Originally posted on Himalayas