Research Data Scientist: ML for Climate & Space

Inria en Chile; Santiago; On-site; CLP 24,279,602 - 29,082,160; Full time

Benefits offered by this job

Access to advanced computing facilities

Professional growth opportunities

Collaborative work environment

International research collaborations

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Problem-solving skills

Analytical skills

Programming in Python

Experience with PyTorch

Communication skills

Education

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

Tools

SQL

JAX

scikit-learn

docker

Job description

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.