Data Team Leader

DeepCube, the AI division of Nano Dimension, is seeking a passionate Data Team Leader to join our dynamic team.

We're revolutionizing how manufacturers extract value from their big data, driving Industry 4.0 forward with our cutting-edge industrial AI solutions.

In this role, You'll lead a team of data analysts and engineers, collaborating with development and algorithm teams to design and implement game-changing applied data models and solutions.

From developing the data strategy to overseeing data-driven client projects, you'll ensure data quality, integrity, and security throughout the entire process.

Requirements:

Technical Expertise: A Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
Proven Leadership: Minimum of 3 years of experience leading and motivating data teams.
Data Model Mastery: A proven track record in designing and implementing data models and end-to-end solutions.
AI & Machine Learning Savvy: A strong understanding of AI and machine learning concepts, especially in industrial applications.
Communication: Excellent leadership, communication, and interpersonal skills to bridge the gap between technical and non-technical audiences.
Data Mastermind: Proficiency in data analysis tools and programming languages like Python, R, SQL, etc. Experience with big data technologies (Hadoop, Spark) is a plus.
Innovation Advocate: A passion for staying current with industry trends and advancements in AI and data technologies.
Thriving Spirit: The ability to thrive in a fast-paced, innovative environment.

DeepCube offers:

The opportunity to be at the forefront of the AI revolution in manufacturing.
A collaborative and fast-paced work environment.
The chance to make a significant contribution to DeepCube's business growth and success.

Ready to join the movement? Apply today!

Group:
DeepCube

Contribution:

Key Responsibilities:

Lead, mentor, and manage a team of data analysts and engineers.
Participate and directly contribute to the team effort with 50% Hands-on involvement.
Collaborate with development and algorithm teams to design and implement data models and AI solutions.
Develop and maintain the data strategy, methods, and tools, aligned with business goals.
Oversee the planning, execution, and delivery of data projects- Infrastructure and client-based solutions.
Ensure data quality, integrity, and security across all data processes.
Provide technical guidance in data analysis and management best practices.
Stay current with industry trends and advancements in AI and data technologies.
Communicate complex data concepts and insights to both technical and non-technical audiences.