Research Data Scientist: ML for Climate & Space

Inria en Chile; Santiago; Presencial; CLP 24.279.602 - 29.082.160; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Access to advanced computing facilities

Professional growth opportunities

Collaborative work environment

International research collaborations

Descripción de la vacante

Inria en Chile is seeking a skilled Data Scientist to join its research team in Santiago. The role involves collaborating on data-driven solutions for climate change, ecology, and social impact using machine learning techniques. Candidates should have a relevant Master's degree and strong programming skills, particularly in Python. The position offers a competitive salary of $2,390,760 Chilean pesos monthly with additional benefits, fostering a collaborative research environment and opportunities for professional growth.

Formación

• M.Sc. or equivalent experience in computer science, mathematics, engineering, or statistics.
• Strong programming skills in Python or similar languages.
• Experience with frameworks like PyTorch and scikit-learn.

Responsabilidades

• Collaborate to design and implement data-driven solutions for research projects.
• Conduct data analysis and develop predictive models.
• Deploy robust machine learning models and ensure their reliability.

Conocimientos

Problem-solving skills

Analytical skills

Programming in Python

Experience with PyTorch

Communication skills

Educación

M.Sc. in computer science, mathematics, engineering, or statistics

Herramientas

SQL

JAX

scikit-learn

docker

Descripción del empleo

Inria en Chile is seeking a skilled Data Scientist to join its research team in Santiago. The role involves collaborating on data-driven solutions for climate change, ecology, and social impact using machine learning techniques. Candidates should have a relevant Master's degree and strong programming skills, particularly in Python. The position offers a competitive salary of $2,390,760 Chilean pesos monthly with additional benefits, fostering a collaborative research environment and opportunities for professional growth.