Process data and automate data flows; manage and optimize data structure & data bases for big data sets
Apply machine learning & traditional statistical models to diverse data sets to generate actionable insights and solutions for client services and product enhancement.
Interact with product and service teams to identify questions and issues for data analysis and experiments.
Interpret and communicate data analysis results and experiments to product, service & business managers
Design, build and maintain dashboards
Process confidential data and information according to guidelines
Support to setup iterating reports, analysis and dashboards
Bachelor or Master Degree : Math / Statistics / Computer Science / Data Science / Operations Research / Industrial Engineering
Advanced programming skills Python & R
Basic programming skills in SQL, Matlab & HTML
Demonstrates significant technical independence and high working accuracy
Strong analytical skills
Strong interest in data engineering, data science and reporting
Solid mathematics background (linear algebra, probability, optimization)
Demonstrated experience in handling large data sets, data modelling & data warehousing
Ability to summarize key findings, define and prioritize multiple conflicting requirements and effectively communicate with both business and technical teams
Professional presentation skills (data visualization)
Very good oral and written communication skills in German and English
This position is subject to the Austrian Collective Bargaining Agreement for employees in the Metal Technology Industries in occupation group : F ().
The monthly salary is paid 14 times per year. A higher payment is negotiable depending on expertise and skills.
Villach - a great place to live and work
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We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.