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Position: Data Scientist
Institution: Swarovski
Location: Zürich, Switzerland
Duties: Designing and developing Advanced Analytics assets by translating business questions and requirements into actionable insights; Partnering with other Business Functions to align with market state-of-the-art solutions and identify Advanced Analytics opportunities to be embedded the existing processes; Leverage the Data Lake information and cloud infrastructure as well as the current technology landscape to design the solutions; Developing data science products ensuring business improvements are impactful and aligned to the company objectives and strategy, including appropriate and structured documentation of the methodology and data used
Requirements: University degree/Education, preferably in Mathematics, Statistics, Computer Science, Physics or similar; Minimum 2 years of professional experience in a similar role within an international setting; Excellent analytical and problem-solving skills; Excellent English proficiency, presentation and communication skills; R and/or Python, modelling & real time analytics, database languages (e.g., SQL) and Big Data frameworks
   
Text: Data Scientist Designing and developing Advanced Analytics assets by translating business questions and requirements into actionable insights; Partnering with other Business Functions to align with market state-of-the-art solutions and identify Advanced Analytics opportunities to be embedded the existing processes; Leverage the Data Lake information and cloud infrastructure as well as the current technology landscape to design the solutions; Developing data science products ensuring business improvements are impactful and aligned to the company objectives and strategy, including appropriate and structured documentation of the methodology and data used University degree/Education, preferably in in Mathematics, Statistics, Computer Science, Physics or similar; Minimum 2 years of professional experience in a similar role within an international setting; Excellent analytical and problem-solving skills; Excellent English proficiency, presentation and communication skills; R and/or Python, modelling & real time analytics, database languages (e.g., SQL) and Big Data frameworks
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