4 Data Scientist Jobs in Oberösterreich
RESPONSIBILITIES
- Programming: know at least one of Python, SQL, R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus.
- FMCG Knowledge: prior experience working at an FMCG company in a data or analytics focused role a plus.
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly.
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …).
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
- Stakeholder Management: good at building mutually beneficial connections with functional stakeholders.
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
- Scientific Reasoning/Scoping: ability to define and formulate new questions, in addition to answering given ones.
- Grit: proven capability to see things through to the end even if initial feedback is discouraging.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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ÜBER UNS
- Planung, Durchführung und Steuerung von IT-Projekten von der Konzeptionsphase bis zur Implementierung
- Management des laufenden Datenhaushaltes
- Datenaufbereitung für Berichte und Dashboards
- Erstellung von Auswertungen und Datenanalysen zur Steigerung der Datenqualität
- Identifizierung und Umsetzung von Automatisierungspotenzialen zur Effizienzsteigerung
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Ihre Aufgaben
- Actively drive transformation of BWT to become a Data Driven Company by further developing our “BWT AQALyze” Platform
- Be part of “BWT AQALyze” and create the future with us
- Take responsibility for business intelligence projects or business analytics projects
- Supporting to build the group-wide data warehouse with your experience as Controller, Data Analyst, Product Owner, Data Engineer, Data Scientist or UX Designer
- Specification, implementation, testing, documentation, training and supporting of “BWT AQALyze” requirements
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