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Data Science Team Lead

SIA Printify Development

España

Presencial

EUR 70.000 - 90.000

Jornada completa

Hace 8 días

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Descripción de la vacante

Join a dynamic and innovative company as a Data Science Team Lead. You will manage and mentor a diverse team of data scientists, fostering collaboration and technical excellence while driving impactful projects in machine learning and AI. This position offers flexibility and opportunities for professional growth.

Servicios

Health insurance including mental wellness programs
Flexible hours
Employee discounts on 300+ products
Professional growth opportunities
Team-building events and parties

Formación

  • 5+ years in data science, ML, or AI.
  • 2+ years leading data science teams.
  • Experience with model development and deployment.

Responsabilidades

  • Lead and mentor a team of 7 data scientists.
  • Conduct performance reviews and set development goals.
  • Define and track KPIs for ML projects.

Conocimientos

Leadership
Machine Learning
Data Science
Collaboration
Innovation

Herramientas

Python ML frameworks
SQL
AWS

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.
  • Remote work or in-office in Rīga.
  • 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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