Beschreibung
We are currently looking for a Data Scientists (m/f/d) experience with Bayesian Optimization for our FMCG clientStart: 11.10.2021
End: 10.02.2022
Volume: full-time
Location: remote / Düsseldorf (ca. 80/20)
language: English; German (nice to have)
Background: Client plans to provide iterative formulation design to R&D teams. This includes, among other things, to explore Bayesian Optimization methods. However, this has no relevance for the core products.
Tasks (independently delivered):
The services shall be provided within agile framework. The sprints each have a duration of 2 weeks, so that the sprint meetings take place at intervals of 2 weeks. Within the individual sprints, the contracting parties shall coordinate the respective technical requirements for the services to be provided in daily meetings in order to achieve the compatibility of the individual components Unravel. The technical requirements for the services to be provided are assessed by the Contractor on the basis of its own technical assessment.
Backlog items will be assigned in Azure DevOps containing business requirements and acceptance criteria, where the contractor gets access to.
- Gathering business requirements for data science products in 2 onsite and 3 remote workshops according to the assigned backlog items, that will be organized by the contractor. Information is provided.
- Design data science products or components according to the aforementioned business requirements
- Implement or improve scalable and robust data science products according to the assigned backlog items using state-of-the-art engineering practices by
o Development of data science product features according to product backlog
o Design of data models according to product backlog
o Design and implementation of user interface components according to product backlog
o Testing of data science product features according to product backlog, in case of identified bugs or issues the task is to rework it from step 1
o Release of data science product features according to product backlog
- Script based implementation of data engineering tasks and data science model according to in Azure WIKI available coding and configuration standards and guidelines.
- Documentation of technical implementation and related process documentation in Azure WIKI, that will be validated and approved internally
Skills:
* Relevant experience in a data science environment.
* Strong skills in solving complex problems. Ability to structure and reduce complexity. Ability to transition from bird-eye-view to detailed view and back.
* Business acumen and ability to work closely with non-technical teams. High confidence in verbal and written communication.
* Expert knowledge in at least one of the following data science areas: Bayesian networks/MCMC, supervised or unsupervised machine learning, statistical modeling.
* Experience in Bayesian Optimization or optimization in general, ideally involving surrogate models and a constrained search space
* R&D mindset, motivating you to ask deeper questions about the data and enabling you to discover insights through finding and reviewing relevant literature
* Excellent coding skills in Python
* Fluent in English; German language skill is a plus.
Michael Bailey International is acting as an Employment Business in relation to this vacancy.