TL;DR
Manager Of Data Science & Analytics (Buyer): Lead and develop a team of data scientists responsible for building, productionising, and monitoring ML models integrated into hirify.global's product with an accent on recommender systems and AI automation. Focus on delivering measurable business impact through experimentation, cross-functional collaboration, and team growth.
Location: Hybrid with recommended 2 days in office, based in Vilnius, Lithuania, remote work available within Europe
Salary: €61,800 - €110,400 gross per year
Company
hirify.global is Europe’s leading second-hand fashion marketplace, headquartered in Vilnius, Lithuania, with offices across Europe and a team of over 2,000 people.
What you will do
- Lead and grow a team of data scientists focused on homepage recommender and upload form suggestion systems
- Identify and prioritise strategic opportunities for data science products in the Buyer domain
- Own key performance indicators and measure impact through experimentation
- Collaborate cross-functionally with engineering, product, and design teams
- Support team members’ career growth and proactively hire new talent
- Deliver insights to stakeholders across the company
Requirements
- Based in Europe or able to work remotely within Europe
- Proven experience leading data science teams and delivering data products
- Strong communication skills with ability to present complex topics clearly
- Proficiency in Python and SQL
- Experience with statistical analysis, experiment design, hypothesis testing, and machine learning systems
- Excellent written and spoken English (C1 level or higher)
Nice to have
- Experience with recommender systems or personalisation
- Experience working on marketplace platforms
- Experience collaborating with engineering on model productionisation and MLOps
Culture & Benefits
- Share options programme
- 25 days paid annual leave
- Latest MacBook models and home office support with equipment budget
- Digital mental health support and Employee Assistance Program
- Flexible hybrid work model with recommended 2 days in office
- Personal learning budget for professional development
- Additional perks including lunch allowance, gym subsidy, pension plan, and workation opportunities
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