Machine Learning Scientist- Deep Learning / Python / SQL

Location: Munich

Contract: Permanent

Industry: Healthcare

Salary: Negotiable

 

Responsibilities and Performance Objectives for Machine Learning Scientist:

 

  • Employ the existing (and develop new) Machine Learning algorithms that can find patterns in large multi-modal data.

  • Provide innovative solutions for the business (e.g., by translating complex commercial problems to Machine Learning problems).

  • Be an active member of teams that provide the business with data-driven apps, insight and strategies.

  • Participate in, lead, and create cross-functional projects and training.For senior roles, lead, inspire and mentor junior scientists and research assistants (interns).

  • Communicate (both oral and written) with colleagues and stakeholders (both internal and external)

 

Required Attributes  for Machine Learning Scientist:

 

  • A postgraduate (MSc/PhD/Post-doc) qualification in a numeric discipline such as Statistics, Machine Learning, Computer Science, Signal Processing etc.

  • Scientific expertise and applied experience in Machine Learning (ideally, a combination of excellent academic research and high-impact commercial experience).

  • In depth understanding of common Machine Learning algorithms (e.g., for classification, regression and clustering).

  • In depth knowledge of advanced statistical theories, methodologies, and inference tools (e.g. familiar with hypothesis testing, (generalized) linear models, additive models, mixture models, non-parametric models, etc.).

  • Proven track record in advanced topics of Machine Learning (e.g., Bayesian inference, hierarchical models, deep learning, Gaussian processes, causal inference, graph theory, etc.).

  • Advanced programming skills in Python and R (and their related data processing, Machine Learning, and visualization libraries).

  • Practical experience in preparing data for Machine Learning (e.g., using SQL and/or NoSQL technologies).

  • Completion of at least one significant project (equivalent of a great PhD research

  • project, and/or a viable commercial product) in applied Machine Learning.