If you use this site, you agree to our use of cookies. Data protection/privacy job portal

voestalpine High Performance Metals GmbH

Data Scientist with expertise in Time Series Analysis (m/f/d)

  • Job-ID: V000002131
  • Location: Graz/Kapfenberg
  • Start date: as soon as possible
  • Closing date: 10/31/2019
  • Working Hours: Full-time

Introduction

voestalpine High Performance Metals is the global market leader in tool steel and also holds leading positions in high-speed steel, valve steel, special engineering steel and other special grades. Customers can rely on our well-established brands that have frequently set the standards for the special steel sector over many decades with their innovation and top quality.

You want to work in a team to leverage the power of AI by creating innovative algorithms, visualizations and dashboards to explore and understand historical data, and design predictive models?

Please find further information on our website: http://www.voestalpine.com/highperformancemetals/en/

Job description

  • Design, develop, test, and deploy data-driven visualizations and predictive models
  • Custom-develop Data Science workflows from source to training, validation and deployment
  • Support “Citizen Data Scientists” in subsidiary locations with best practice examples
  • Develop and maintain reusable machine learning components to build up an extensive AI code knowledge base
  • Support use case evaluation with domain experts by defining data requirements and model metrics
  • Continuously improve models by re-training with new data and extensive cross-validations
  • Work closely with various teams across the organization in order to enhance business outcomes
  • Execute complex and exciting end-to-end Data Science projects
  • Contribute to process standards and project management of Data Use Cases

Qualifications

  • University degree in a quantitative field such as mathematics, statistics, or related discipline
  • 3 years experience in a Data Science role using Jupyter / Python toolset
  • Experience with visualization technologies, KPI dashboards, and libraries like plotly, bokeh, D3.js
  • Excellent knowledge in Python (incl. pandas, scikit, keras, tensorflow, numpy …), preferably also R, C++ 
  • Knowledge of high performance and distributed computing, SparkML, H2O, CUDA/GPU
  • Understanding of ETL paradigms in traditional SQL and NoSQL environments
  • Excellent written and verbal German and English skills
  • Enthusiastic about learning new tools and on track with the latest research and technology
  • Analytical and solution-oriented mind set, pro-active team player with profound communication skills
  • Willingness to travel (up to 30%)

What we offer

Salary Package and Benefits: The collective minimum salary agreement for this position is € 3.633,30 brutto (14 x per year). The actual payment depends on the particular qualification and experience.

voestalpine offers its workforce an attractive and appreciative working environment: We support with an extensive initial introduction phase, regular on – the – job  trainings, flexible working hours and annual appraisal interviews.  We enable certain perquisites and benefits for different commercial partners and with a good course of business all employees will be paid an additional annual bonus. Employee participation is of particular importance for us; currently employees of voestalpine hold 14% of the shares.

voestalpine’s status  a leading partner in technology is due to its 52.000 employees who constantly improve the modern working environment, which values variety and innovation. We are looking forward to receive your application.
Please note that benefits can vary depending on location.

More information about our application process can be found on the first page of our application form and in the “FAQs to apply”.

If we have sparked your interest, please use our online application form. 
Our CV - parsing tool makes your application even faster.

Employee participation; Employee bonuses; Employee benefits; Cafeteria; Healthy nutrition; Health measures; Parking space; Good transportation access; Barrier-free workplace; Training and education; Flexible work hours

Contact & Application

Recruiter:
Julia Nusko
+43 50304 15-2892
Hiring Manager:
Alexander Pokorny
+43 50304 10-22348