
Manager Data Science
- Αθήνα
- Μόνιμη
- Πλήρης Απασχόληση
- Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
- Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.
- Support the team in analyzing and deriving value from data using application methods such as statistics, time series modelling, machine learning and data visualization.
- Help the team determine, create and maintain the best time series / machine learning models be to use, taking into account SKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.
- Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.
- Collaborate with stakeholders to identify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.
- A desire to drive your future and accelerate your career and the following experience and knowledge:
- Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.
- 5+ years of experience in data science, preferably with a focus on time series forecasting, FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.
- Experience in application of ML concepts and methodologies (particularly time series modeling, but also regression, classification, feature engineering and selection etc.)
- Proficiency in SAS, SQL, Python, and other programming languages to communicate effectively with technical teams.
- Excellent communication and presentation skills, ability to explain complex analytical topics to both technical and non-technical stakeholders.
- Advanced English
- Exciting work in a multi-cultural team of bright minds.
- Global career opportunities.
- Flexible remote work options, or - if you prefer - access to one of our modern offices.
- All kinds of benefits depending on the location.
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