Senior Data Scientist (m/w) 80-100%

Job Informationen

Your tasks: As a Senior Data Scientist you will use your expertise in machine learning, statistics, computer vision, natural language processing, or related fields. Your expertise will help domain experts working in Earth and environmental science, physical and engineering sciences, biology, biotechnologies, personalized medicine and health, computational social science, economics. Moreso, to identify how to analyze or model their data, and to answer precise scientific questions or develop algorithms that perform automatically some challenging tasks. This involves exchanging actively and regularly with the domain experts to understand the precise desiderata of the project in domain science terms, translating it in data science terms, determining which approaches and formulations are most effective to achieve the desired goals, implement the corresponding algorithms, perform the evaluations hand-in-hand with the domain experts, and eventually release open-source code and write research papers in the domain science with the domains expertise, and contribute to the communication of the results. Your profile: The ideal candidates are researchers with a PhD in machine learning or related field who have some experience working with concrete applied problems, keen on working in a data-driven way, and skilled at deriving useful insights from appropriate preliminary analyses of the data or determining why a particular model is not a good fit for the data considered and how it can be improved. We are looking for multidisciplinary machine learners with sharp skills in one or more of the following fields: • Deep Learning • Bayesian Modeling • Computer Vision • Natural Language Processing • Reinforcement Learning • Statistics • Optimization • Signal Processing We also expect that candidates are proficient in Python/R, Scala, C/C++.

Benötigte Skills
  • Senior
  • Python
  • Machine Learning
  • Scala
  • C
  • C++
  • Python
  • R
Job Details
  • Job Status Aktiv
  • Pensum Vollzeit