Data Scientist - Machine Learning / Python / Tableau

PropHero; Madrid; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

An innovative tech startup is looking for a Lead Data Scientist to oversee model training and deployment, mentor junior members, and build impactful AI solutions. With at least 5 years of experience, candidates should be proficient in Python and familiar with classical machine learning techniques. This role offers a flexible remote working environment with opportunities for career growth.

Formación

• 5+ years of experience as a Data Scientist / ML Engineer.
• Strong background in machine learning algorithms.
• Solid understanding of the ML lifecycle.
• Ability to write clean and efficient Python code.
• Experience with cloud platforms preferred.

Responsabilidades

• Setup and oversee pipelines for training and testing models.
• Work with engineers to operationalize models.
• Explore and build AI/ML solutions.
• Provide mentorship and code reviews.

Conocimientos

Hands-on coding and model building

Classical ML techniques

Python programming

MLOps practices

Fluent English

Herramientas

scikit-learn

XGBoost

LightGBM

AWS

Descripción del empleo

Data Scientist Lead

• Training, Evaluation & Testing: Set up and oversee pipelines for training, evaluating, and testing models, ensuring robustness, accuracy, and reproducibility.
• Inference & Deployment: Work with engineers to operationalize models, ensuring efficient inference and integration into production systems.
• Exploring & Building Solutions: Explore and build solutions leveraging LLMs, vector databases, retrieval-augmented generation (RAG), agent frameworks and partner with AI Engineers, Data Scientists, and product teams to deliver practical, scalable, and impactful AI/ML features.
• Mentorship: Provide guidance, code reviews, and knowledge sharing to support the growth of junior team members.

• Proven experience (5+ years) as a Data Scientist / ML Engineer, with hands‑on coding and model building.
• Strong background in classical ML (scikit‑learn, XGBoost, LightGBM, regression / classification / clustering algorithms, etc.).
• Solid understanding of the ML lifecycle: training, testing, inference and continuous evaluation.
• Strong coding skills in Python, with ability to write clean, maintainable, and efficient code.
• Familiarity with cloud platforms (AWS preferred) and MLOps practices.
• Fluent English for effective communication in a distributed global team.

We work remotely and in a flexible environment. Early‑stage Startup and opportunity for career growth.