Data Science Team Lead

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

We are an equal opportunity workplace. We’re committed to diversity and inclusion and make hiring decisions based solely on qualifications, merit, and work experience.
If you think you’d excel in this role, send us your resume in English, showing us why you are the right person for the job. 
Interested, but don’t think this is the right fit for you? Feel free to share it with friends and check out other open positions at our career site. We’re always looking for creative and driven minds to join our ever-growing team!