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About the Role
Vinted is seeking a Lead Decision Scientist to join the Area DSA team. This role focuses on identifying and solving impactful problems within the Revenue, Purchase & Order domains, influencing stakeholders, and enabling peers to tackle challenges. The position requires determining the right approach for each challenge and will report directly to the Area DSA lead.
Responsibilities
- Identify, prioritise, and systematically resolve the most impactful Decision Science problems and opportunities across Pricing, Purchase & Order, ensuring solutions are effective, efficient, and viable long-term
- Build alignment by engaging domain leadership, peers, fellow decision scientists, and cross-functional stakeholders to validate priorities, clarify, and measure trade-offs
- Set and raise the standard for experimentation and decision-making across the scope by improving metrics, methods, interpretation, and how insights are translated into decisions
- Be responsible for the measurability of success for key Marketplace Product programs within your scope
- Partner with the domains' leadership to ensure measurability of OKRs and prioritise accordingly, where the input is needed the most
- Own and deliver selected initiatives hands-on yourself
Requirements
- Proven experience in a Decision Science, Data Analytics, or Data Science role
- Excellent analytical thinking and problem-solving skills, with the ability to balance the depth of your analysis with tangible business impact
- Highly results-oriented and comfortable with iterative processes
- Strong knowledge of statistical methods, including experience running A/B tests, regression analysis, causal inference, and other inferential techniques
- Ability to suggest alternative methods when standard approaches aren't the best fit
- Strong skills in SQL and Python
- Treat data code like software, valuing reproducibility, clarity, and performance
- Comfortable with giving and receiving code and methodology reviews
- Git is part of your daily workflow
- Experienced with BI tools like Looker, Tableau, or Power BI
- Fluent in written and spoken English
- Ability to convincingly present complex results and statistical concepts to both technical and non-technical audiences
- Effective in influencing decision-making without authority through data, communication, and collaboration
Skills
- SQL
- Python
- A/B testing
- Regression analysis
- Causal inference
- Inferential techniques
- Looker
- Tableau
- Power BI
- Git
Location
- Vilnius
Work Type
- Hybrid
Experience Level
- Lead
Salary/Compensations
- €90.100—€121.900 EUR
Benefits
- Share options programme
- 30 days of paid annual leave
- Newest MacBook models
- Digital mental and emotional health support and Employee Assistant Program (EAP)
- Home office support: IT workstation equipment and a personal budget of up to €540 for home workplace furniture
- Lunch benefit per your workday
- Frequent team-building events
- A personal monthly budget for shopping on Vinted
- Access to a discounted gym membership plan
- Pension Plan with Vinted matching 150% of your chosen contribution
- Supplemental Private Health Insurance
- Life and Disability insurance
- A subsidised Deutschlandticket for your commute to the office by public transport
- Opportunity to spend up to 90 days per year on workation (21 of which can be spent working outside of the EU)
- Dog-friendly office
- Individual Learning Budget for courses, certifications, workshops and more
About the Company
- Vinted's mission is to make second-hand the first choice.
- The Vinted Group consists of Vinted Marketplace (Europe’s leading platform for second-hand fashion), Vinted Go (enhancing the shipping experience), and Vinted Pay (providing secure payments).
- Founded in 2008 in Lithuania, Vinted became Lithuania's first unicorn in 2019.
- The company has headquarters in Vilnius, offices across Europe, and a team of over 2,000 people.
Equal Opportunity
- The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging.
- Applications are welcomed from people of all backgrounds, identities and life experiences.
- All applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.