(P-657) | Data Science Team Lead (M/F/D)
Responder al anuncioEBV Elektronik, an Avnet company, is one of Europe's leading distributors for semiconductor products with almost 900 employees. For more than 50 years, we have been making our customers and manufacturers successful - every day. How do we do that? Through our employees:
- Passion and competence
- Ownership and trust
- Learning and growing
- Diversified teams and strong individuals
For us, every job is much more than just a task.
Main Purpose and Goal:
The team lead for Data Science in EMEA will be responsible for managing a team of Data Scientists. The role is responsible for overseeing the design, development, and implementation of ML models and analytical models. The role involves planning project milestones and keeping track of timelines to contribute to the overall success of the organization's data initiatives. It is also important to identify, qualify, and define new opportunities in the area of modern data utilization, ensuring continuous alignment with business priorities. The team lead is responsible for guiding and motivating the team.
Main Tasks and Responsibilities:
Leadership and Team Management:
- Provide effective leadership and mentorship to a team of data scientists, fostering a collaborative and high-performing work environment.
- Set clear performance expectations, roles and responsibilities, and conduct regular performance evaluations to support team members' growth and development.
- Encourage knowledge sharing and continuous learning to keep the team up-to-date with the latest technologies and industry best practices.
- Ensure redundancy in the organization to support business during holidays and illness.
Management of Data Solutions in EMEA:
- Oversee the design and implementation of robust data transformation processes to ensure data availability and accessibility for data science purposes.
- Collaborate with cross-functional teams to understand data requirements and design data architecture to support business needs.
- Ensure data quality, data governance, and data security standards are adhered to across all data science activities.
- Define, prioritize, and monitor appropriate requirements and continuously review the process.
- Participate in innovation-related projects and implementation.
- Challenge and feed the organization with new and modern ways of data usage in alignment with Analytics and Process Management in the organization.
- Lead business requirements gathering, solution design, and documentation.
- Ensure compliance with data protection and data security policies.
- Encourage best practice sharing and standardization between the speedboats.
Application Ownership:
Overall ownership and responsibility for Data science solutions in EMEA. Own setup and maintenance of data and model architecture. Stay ahead of emerging technologies and industry trends in data engineering and data science to identify opportunities for improvement and innovation.
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