Data Science Team Lead

hace 3 semanas

Barcelona, España Avnet A tiempo completo

EBV Elektronik

EBV 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 is to plan project milestones and keeping track of timelines to contribute to the overall success of the organization’s data initiatives.
  • The role is to identify, qualify and define new opportunities in the area of modern data utilization.
  • The role is to continuously ensure alignment with business priorities
  • The team lead is responsible to guide and motivate 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 organisation to business support 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.
  • Provoke, 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 practise sharing and standardisation between the speedboats.
  • Ensure effective and efficient internal processes.

  • 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.
  • Evaluate and recommend suitable data tools, frameworks, and platforms to enhance the team's capabilities and improve overall efficiency.

Additional Tasks
  • Enablement Initiatives
    Develop and execute enablement initiatives to develop skills within various business units
    Support knowledge transfer in BI and Process Mining teams
  • Project Management
  • Lead the planning, execution, and delivery of data engineering and data science projects within agreed timelines and budgets.
  • Track project progress, manage risks, and communicate project status and outcomes to stakeholders.

Profile:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degrees are a plus.
  • Proven experience 5+ years in data engineering, data science, or a combination of both
  • Strong expertise in data engineering tools and technologies (SQL, ETL frameworks, data warehousing) and data science libraries (e.g., Python, R).
  • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) and big data technologies is preferred.
  • Experience in building and deploying machine learning models and predictive analytics solutions.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Effective communication skills with the ability to convey technical concepts to non-technical stakeholders.
  • Ability to foster a collaborative and innovative work environment.
  • Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.
  • A passion for leveraging data to drive business outcomes and improve operational efficiency.
  • Strong interpersonal skills, persuasive power and a team player.
  • Fluent in English
  • Project management basics

Authorities:
  • First Escalation level in terms of Data Science set-up
  • Data Science decision making.


The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills.


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