Data Science Team Lead

Summary

Join Printful and Printify, a global on-demand powerhouse, as a Team Lead for Data Scientists! Lead a team of 7 data scientists, providing guidance and mentorship. You will conduct performance reviews, set goals, and foster career growth. This role requires 5+ years of data science experience and 2+ years of leadership experience managing data scientists. You'll collaborate with various teams, define ML vision, and ensure ML platforms meet data science needs. We offer remote or in-person work options, flexible hours, health insurance, and various other benefits.

Requirements

• 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

Responsibilities

• 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
• Work closely with ML product managers to: Explore and discuss potential ML applications for business challenges

Benefits

• 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