Basque Center for Applied Mathematics – BCAM offers Research Technician position to work with the Knowledge Transfer Unit – KTU in Data Analysis, Statistics (regression methods, time series, multivariate analysis, clustering methods), Machine Learning techniques (e.g.: neural networks, random forests, decision trees, SVM’s etc.) and Optimization (linear programming, multi-objective optimization, large-scale optimization etc.) topics.

The researcher will collaborate in knowledge transfer projects with industry and research entities. Will work in Statistical and Machine Learning data analysis and participation in research projects, including:
– Data processing, data management and data analysis.
– Writing code to analyse data and produce results.
– Summarizing and interpreting data and results.
– Preparing, producing, updating and automating reports.
– Elaborating interim and final analysis of research projects.
– Assisting and preparing presentations to stakeholders.
And will contribute in the preparation and production of scientific publications and report.

Deadline: 22 April 2022
More info and application: http://www.bcamath.org/en/research/job/ic2022-03-research-technician-on-data-science-a-bcam-knowledge-transfer-unit

Requirements:
Master’s and or PhD degree in Statistics, Computer Science, or a closely related field.
Strong background in Statistics and Mathematics and Computer Science.
Fluency in spoken and written Spanish and English.

Skills:
Knowledge of advanced statistical methods and/or machine learning techniques, data base management and data visualization.
Ability to analyse data, perform statistical analysis, elaborate scientific reports and interpret results.
Experience with statistical software packages and good programming skills in R, Python and/or MATLAB.
Knowledge in database languages (e.g. SQL) and Big Data technologies (e.g. Hadoop, etc) are valuable.
Strong analytical and problem-solving skills.
Strong programming skills.
Ability to read scientific publications and implement mathematical algorithms.
Good interpersonal skills.
Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds.
Demonstrated high level written and oral communication skills.
Demonstrated ability to work independently and as part of a collaborative research team.