Data Science Team Lead

SIA Printify Development; Valladolid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading company in on-demand printing seeks a Data Science Team Lead to oversee a team of data scientists. The role emphasizes innovation, team mentorship, and collaboration across platforms, with a commitment to professional growth and diversity. You will play a crucial role in driving machine learning projects and enhancing organizational impact.

Servicios

Flexible hours

Health insurance including wellness programs

Employee discounts on 300+ products

Professional growth opportunities

Team-building events and parties

Formación

• At least 5 years of experience in data science, machine learning, or AI.
• Experience leading data science teams for over 2 years.
• Familiarity with MLOps best practices and cloud platforms like AWS.

Responsabilidades

• Leading a team of 7 data scientists.
• Conducting performance reviews and mentoring team members.
• Staying updated with advancements in machine learning.

Conocimientos

Machine Learning

Python ML frameworks

SQL

Team Leadership

Project Management

Collaboration

Descripción del empleo

In November 2024, Printful and Printify merged to form a global on-demand powerhouse. This role involves working across both platforms and brands, presenting a unique challenge. To learn more about the merger, check out our blog post.

About the Role

We are seeking a Data Science Team Lead to manage and mentor a team of 7 data scientists. The role includes driving technical excellence, fostering collaboration and innovation, and refining team rituals to ensure high-quality project delivery.

Your Daily Tasks will Entail :

• Leading a team of 7 data scientists.
• Organizing regular 1 : 1 meetings with team members.
• Mentoring data scientists to improve technical and business skills.
• Conducting performance reviews and setting development goals.
• Establishing effective team rituals for project delivery.
• Enhancing organizational impact through collaboration and innovation practices.
• Staying updated with advancements in machine learning and AI, and applying them within the business.
• Collaborating with the MLOps team to support ML infrastructure and platforms.
• Defining and tracking KPIs for ML projects, and addressing issues proactively.
• Working with product managers to define ML vision and explore solutions for business problems.

Your Qualifications :

• At least 5 years of experience in data science, machine learning, or AI.
• At least 2 years of experience leading data science teams and managing projects from conception to deployment.
• Experience in a marketplace or product company.
• Experience with model development, optimization, and deployment in production.
• Familiarity with MLOps best practices.
• Proficiency in Python ML frameworks.
• Experience with SQL.
• Knowledge of cloud platforms (preferably AWS) for ML deployment.
• Experience solving real-world ML problems at scale.
• Ability to work cross-functionally with product, engineering, and business teams.
• Ability to balance hands-on technical work with strategic planning.
• Experience hiring, scaling teams, and fostering a high-performance ML culture.

What we Offer :

• Resources and tools to perform your tasks, with options for Mac or Windows.
• Flexible hours, with start times as late as 11 a.m.
• Health insurance, including mental wellness programs.
• Employee discounts on 300+ products.
• Opportunities for professional growth through conferences, workshops, and mentoring.
• Memorable team-building events and parties.

We are committed to diversity and inclusion, making hiring decisions based on qualifications, merit, and experience.

If you're interested but feel this isn't the right fit, share it with friends or explore other openings on our careers page. We're always looking for creative, driven individuals to join our growing team.

Printful is an on-demand printing and fulfillment company that helps turn ideas into brands and products, serving clients from small businesses to iconic brands like Coca-Cola and MTV.

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