Senior Data Scientist

beBeeMachineLearning; Madrid; Híbrido; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading tech company in data science in Madrid is seeking a Data Scientist to develop large-scale data platforms and implement machine learning models. Ideal candidates will have a relevant master's degree or PhD, expertise in Python and machine learning, and at least 4 years of experience. The position offers a hybrid working model and a comprehensive benefits package including health insurance and training opportunities.

Servicios

Hybrid working model

Comprehensive benefits package

Professional growth opportunities

Formación

• Minimum 4 years of experience in data science or ML engineering roles.
• Expertise in machine learning algorithms like classification and regression.
• Strong foundation in MLOps and hyperparameter tuning.

Responsabilidades

• Develop and maintain large-scale data platforms using Databricks.
• Design and implement machine learning models with Python.
• Collaborate with teams to embed models in company processes.

Conocimientos

Machine learning theory

Python programming

Data science problem-solving

Communication skills

Interpersonal skills

Educación

Advanced degree (MSc or PhD) in relevant field

Herramientas

Databricks

AzureML

MLflow

pandas

scikit-learn

Descripción del empleo

Overview

Data Science Career Advancement

Immerse yourself in a dynamic environment where innovative solutions are the norm.

Responsibilities

• Contribute to building cutting-edge machine learning models that propel business growth and optimize operations.
• Collaborate with experienced professionals to develop and deploy data-driven solutions, enhancing customer experiences and driving strategic decision-making.
• Develop and maintain large-scale data platforms using Databricks, ensuring seamless integration with AzureML and MLflow.
• Design and implement sophisticated machine learning models, leveraging Python and relevant libraries such as pandas and scikit-learn.
• Work closely with cross-functional teams to embed deployed models into company processes, fostering a culture of collaboration and knowledge sharing.

Requirements

• Advanced degree (MSc or PhD) in a relevant field, such as computer science, data science, physics, or engineering.
• Proven expertise in machine learning theory and its practical application, with a strong foundation in algorithms for classification, regression, and other data science problems.
• At least 4 years of experience in a similar data science or ML engineering role, with a focus on MLOps and hyperparameter tuning.
• Proficiency in programming languages, including Python, and familiarity with popular libraries like pandas and scikit-learn.
• Excellent communication and interpersonal skills, with the ability to convey complex ideas clearly and precisely to diverse audiences.

Benefits

• Hybrid working model, combining office days with flexible home work arrangements.
• Comprehensive benefits package, including health insurance, life insurance, and training opportunities.
• Opportunities for professional growth and development, with a focus on self-improvement and staying up-to-date with industry trends.

Join our dynamic team and embark on a career journey that combines technical expertise with strategic vision, driving innovation and excellence in the field of data science.