Team Lead, Data Science & AI — Strategy & Growth

Slashhash; Netherlands; Remote; EUR 110,000 - 150,000; Full time

Job summary

Lely seeks a Team Lead Data Scientist to guide the Data Science & AI team in creating sustainable dairy farming solutions. The role involves leading a team of data scientists, shaping AI strategy, and collaborating with business teams across the organization.

You will drive technical excellence in Python, Databricks, and ML, mentor peers, and translate data insights into practical products. A quantitative master’s degree and 5+ years of experience are required.

Qualifications

• 5+ years of experience in Data Science & AI
• Leadership experience required
• Quantitative Master’s degree required

Responsibilities

• Lead, grow and develop the Data Science & AI team within Data & AI
• Provide direction for the integrated product roadmap by collaborating with Data & AI leads and Business Teams
• Take multi-disciplinary responsibility as part of the Product Development Leadership team and the Data & AI MT
• Build strong relationships with stakeholders and data science partner company
• Elevate technical and soft skills of the Data Science & AI team to increase impact in Business Teams
• Set direction for evolving Data & AI infrastructure with Data Engineering
• Drive growth of AI knowledge and development within and outside the Data & AI Competence
• Shape Data Science & AI strategy: where to invest, which technologies to adopt, what to build or procure

Skills

Python

Databricks

Machine Learning

Data Science

AI

Predictive Modeling

Azure

Education

Master's degree in a quantitative field

Tools

Databricks

Azure

Python

Job description

Lely seeks a Team Lead Data Scientist to guide the Data Science & AI team in creating sustainable dairy farming solutions. The role involves leading a team of data scientists, shaping AI strategy, and collaborating with business teams across the organization.

You will drive technical excellence in Python, Databricks, and ML, mentor peers, and translate data insights into practical products. A quantitative master’s degree and 5+ years of experience are required.