Hpc Data Scientist

Vor 5 Tagen


Jülich, Deutschland Forschungszentrum Jülich Vollzeit

**Your Job**:
The main tasks of your position:

- You bring in new analysis perspectives through advanced statistical method
- Analyse complex data sets, structure information from various sources, derive clear findings from them and generate clear visualisation of the results
- Identify optimisation potential, with focus on architecture-specific strategies aiming at scaling and/or performance improvements
- Address user questions, provide HPC support
Present/publish results in collaboration meetings, workshops and conferences

**Your Profile**:

- Master degree in Technomathematics or in computer science, engineering, physics, mathematics or natural science or equivalent degree
- Experience with advanced statistical/mathematical methods to analyse large data sets
- Firm experience in the usage of Unix-based operating systems
- Programming and modern software engineering skills (SQL, Git, Python, Perl, JavaScript, HTML+CSS, etc.)
- Self-motivated personality with very good command of written/spoken English
- Great ability to work in a multidisciplinary team of scientists with heterogeneous backgrounds solving scientifically challenging problems on large computers
- Desirable: Knowledge in standard HPC programming (C/C++, Fortran, MPI, OpenMP, GPU programming, etc.)

German language is an advantage

**Our Offer**:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We support you in your work with:

- Exciting challenges at one of the largest research centers in Europe
- Comprehensive training courses and individual opportunities for personal and professional further development
- Extensive company health management
- Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
- Flexible working hours in a full-time position (39 hours/week) with the option of slightly reduced working hours
- Flexible work (location) arrangements, e.g. remote work
30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)


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