Printify

Data Science Team Lead

Job Description

In November 2024, Printful and Printify came together as two equals and merged to form a global on-demand powerhouse. This role will involve working across our two platforms and brands, a unique and special challenge. To learn more about the merger, check out our blog post.

About Us:

Both Printify and Printful are pioneering production on-demand companies and platforms established in Latvia but with a global customer base.

Printify is bringing the dream of financial freedom and business ownership to the world by connecting e-commerce entrepreneurs with over 100 print-on-demand facilities around the globe.

Printful has built world-class in-house production facilities and helps people to build their brands, empowering thousands of businesses—including iconic names like Coca-Cola and MTV. 

Our team is at the heart of our success. You’ll be part of a culture where everyone is respected, included, and encouraged to grow. We value continuous learning, uphold a high work ethic, and have fun along the way.

About The Role

We are looking for a Team Lead for Data Scientists to lead the Data function which is structured as part of Product organization in the company. Within the data function, we have a different blend of data related professionals, such as Data analysts, Data scientists, Data engineers, Prompt engineers, data stewards and Product managers.


Your Daily Tasks will Entail:
  • Lead a team of 7 data scientists, providing functional guidance and direction.
  • Organize regular 1:1s with data scientists to ensure alignment and support.
  • Mentor and coach data scientists to strengthen their technical expertise and business understanding.
  • Conduct performance reviews, set development goals, and provide career growth guidance.
  • Establish and evaluate optimal team rituals to enhance project delivery.
  • Increase the organizational impact of the machine learning team by improving collaboration and innovation practices.
  • Stay up to date with advancements in machine learning and AI, driving their application within the business.
  • Collaborate with the MLOps team to ensure infrastructure and ML platforms meet data science needs.
  • Define and track KPIs for machine learning projects, proactively addressing any issues.
  • Work closely with ML product managers to:
  • Define the vision of machine learning within the company.
  • Explore and discuss potential ML applications for business challenges.

  • Your Qualifications:
  • 5+ years of experience in data science, machine learning, or AI.
  • 2+ years of proven leadership experience, managing a team of data scientists and overseeing projects from ideation to deployment.
  • Experience in a marketplace or product-driven company.
  • Hands-on expertise in model development, optimization, and deployment in production.
  • Familiarity with MLOps best practices to ensure scalable and maintainable ML workflows.
  • Proficiency in Python-based ML frameworks for model development and analysis.
  • Experience with SQL for data querying and manipulation.
  • Knowledge of cloud platforms, with AWS preferred, for ML model deployment.
  • Proven ability to solve real-world ML problems at scale.
  • Strong cross-functional collaboration skills, working with product, engineering, and business teams.
  • Ability to balance hands-on technical work with strategic planning and team leadership.
  • Experience in hiring, scaling teams, and fostering a high-performance ML culture.

  • What we Offer:
  • Be part of a friendly, inclusive, and global team
  • An opportunity to work remotely or in person, from one of our modern and welcoming offices in Rīga, Tallinn, or Barcelona
  • Flexible working hours (start your day as late as 11 a.m.)
  • Health insurance
  • Access to mentorship, internal meetups, and hackathons both on-site and online
  • Exciting team-building events and parties you’ll never forget! 
  • Free and healthy lunch if you work from the Rīga office
  • Design and order your own merch using our platforms with employee discount