Lead Decision Scientist, Revenue, Purchase & Order
Vilnius, Vilnius County, Lithuania · Hybrid
$6k–$8k/mo
Senior$2.0B raised
Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and…
Skills: Decision science, Data analytics, Data science, Analytical thinking, Problem-solving
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$6k–$8k/mo
Full-time
Share options programme, 25 working days of holiday, Newest MacBook models, Office gym, Digital mental and emotional health support, Employee Assistant Program
Posted 14d ago
~40 hrs/week
Responsibilities
The Lead Decision Scientist will identify and prioritize impactful problems across pricing, purchase, and order domains to drive platform growth. They will influence stakeholders and enable peers to resolve complex challenges through effective experimentation and data-driven decision-making.
Requirements
Candidates must have proven experience in decision science or data analytics with strong proficiency in SQL, Python, and statistical modeling. Excellent communication skills are required to present complex insights and influence cross-functional teams effectively.
Full job description
Brief info about Vinted
Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission:
Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
Information about the position
The Revenue, Purchase & Order area spans three domains, which define the user experience through the entire escrow service funnel we offer at Vinted. From the value-driven pricing propositions, to smooth checkout and messaging experience, to the successful order fulfillment and addressing challenges when things go wrong. How do we optimise discounts for acceptable ROI and platform growth? How do we use pricing strategies for generating revenue without a cost on growth speed? How can we decrease cancellations through levers within and beyond your scope? And finally, how do we reduce friction for users’ order management? All these questions need guidance for measurement for us to be confident in steering the decision-making in the right direction.
We’re looking for a Lead Decision Scientist to join our Area DSA team to create impact by identifying and prioritising the most impactful problems to solve within this scope and ensuring they get resolved through influencing stakeholders, enabling your DSA peers to tackle them, or solving them on your own. We expect the Lead Decision Scientist to determine the right approach for each challenge.
You will report directly to the Area DSA lead, and will be part of the Area's DSA leads team. This setup will enable you to deliver impact across all three domains and will require close collaboration with all data roles and product directors for each domain.
In this position, you’ll
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
Be ready to own and deliver selected initiatives hands-on yourself
About you
Experience: You have proven experience in a Decision Science, Data Analytics, or Data Science role.
Analytical Mindset: You possess excellent analytical thinking and problem-solving skills, with the ability to balance the depth of your analysis with tangible business impact. You are highly results-oriented and comfortable with iterative processes.
Statistical Foundation: You have strong knowledge of statistical methods, including experience running A/B tests, regression analysis, causal inference, and other inferential techniques. You can suggest alternative methods when standard approaches aren't the best fit.
Technical Expertise: You have strong skills in SQL and Python. You treat data code like software, valuing reproducibility, clarity, and performance. You are comfortable with giving and receiving code and methodology reviews, and Git is part of your daily workflow. You are also experienced with BI tools like Looker, Tableau, or Power BI.
Master Communicator: You are fluent in written and spoken English and can convincingly present complex results and statistical concepts to both technical and non-technical audiences. You are effective in influencing decision-making without authority through data, communication, and collaboration.
Work perks
The opportunity to benefit from our share options programme
25 working days of holiday
Newest MacBook models
Free access to the office gym
Digital mental and emotional health support and Employee Assistant Program (EAP)
Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
Private health insurance
On-site canteen serving delicious homemade food at friendly prices
Frequent team-building events
A personal monthly budget for shopping on Vinted
The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
A dog-friendly office
Working at Vinted
Individual Learning Budget
We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.
Hybrid Work
We’ve adopted a hybrid workplace model where 2 days in office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.
Equal Opportunity
The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, 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.
The gross monthly salary range for this position is:
Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission:
Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
Offices: Švitrigailos gatvė, 13, Vilnius, Vilniaus, LT · Unter den Linden 14, Berlin, BE 10117, DE · Herengracht 54, 1015BN, Amsterdam, NL · Drobės g 62, 401-403, Kaunas, Kaunas County, LT
How many Data & Analytics jobs are open in Vilnius, Lithuania right now?
There are currently 512 open data & analytics positions in Vilnius, Lithuania listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Vilnius, Lithuania?
Companies currently hiring include Vinted, Ignitis Group Latvija, Oxylabs.io, SEB Varahaldus, Kiloverse, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Vilnius, Lithuania?
Yes — 456 of the 512 open data & analytics positions offer remote or hybrid work (24 remote, 432 hybrid).
How do I apply for Data & Analytics jobs in Vilnius, Lithuania?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.