Senior Data Scientist, Marketing DSA

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

Vinted’s Marketing domain is growing - we’re on a mission to make Vinted known and loved as the go-to destination for everything second-hand. Marketing is one of the primary drivers behind our biggest strategic goals, from winning the USA market to expanding beyond fashion into a multi-vertical platform .

We’re looking for a Senior Data Scientist to join our Marketing Data Science and Analytics team to hands-on build, refine, and scale our core predictive and explanatory models. In this role, you will be the technical engine behind our Bayesian Media Mix Models (MMM), user value machine learning models, and advanced statistical frameworks. Your focus will be on engineering robust, high-performing models that transform complex data into the precise insights our domain relies on.

In this position, you’ll

• Evolve Our Marketing Measurement: Code, calibrate, and scale our Bayesian Media Mix Models (MMM) and ROI frameworks to unlock precise business insights.
• Build and Deploy Core Models: Build and maintain sophisticated econometric and statistical models (MMM, GMV, engagement) to quantify marketing impact and guide multi-channel growth.
• Automate Model Validation & Health Monitoring: Design automated frameworks and reliability metrics that continuously monitor model health and ensure long-term accuracy.
• Build Next-Gen, Automated Capabilities: Drive the ambition toward intelligent data products [such as self-healing MMMs] using modern AI and automation to optimize model runtimes and scale our ecosystem as Vinted grows.
• Partner with Decision Scientists & Marketing Leadership: Act as the core technical partner, translating complex mechanics into clear concepts and helping the team connect model outputs to robust business decisions.
• Champion Modelling Excellence: Maintain a high bar for code quality, rigorous validation, and reproducibility to ensure our data science practices remain clean and trusted.

About you

• Proven Data Science Experience: Hands-on experience focused on advanced statistical, econometric, or time-series modelling (experience in marketing measurement/MMM is an advantage).
• Deep Theoretical Knowledge: Strong foundation in advanced statistics, causal inference, and regression. Familiarity with probabilistic programming (e.g., PyMC) is a major plus.
• Research-to-Application Mindset: Ability to read scientific papers, explore state-of-the-art techniques, and replicate or adapt advanced methodologies to solve complex problems.
• Production-Grade Engineering: Highly proficient in Python, with a passion for building models as data products. You design your pipelines and code so they are modular, reproducible, and easily used or extended by other scientists.
• Business-Minded Tech Partner: You care deeply about the why behind your code, naturally connecting technical model outputs to commercial metrics and business outcomes.
• Educational Background: A Master’s or PhD degree in a highly quantitative discipline (Statistics, Econometrics, Mathematics, Data Science, or similar).
• Impactful storyteller: A charismatic and confident presenter who navigates any topic’s technicality, actively driving and facilitating strategic business conversations across both technical and leadership audiences.

Work perks

• The opportunity to benefit from our share options programme
• 30 days of paid annual leave
• Newest MacBook models
• Confidential Employee Assistance Program (EAP) for you and your family
• Home office support: we provide 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
• A dog-friendly office

Working at Vinted

Workation Policy

Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.

Individual Learning Budget

Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.

Hybrid Work

Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.

Equal Opportunity

We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match!

The annual gross salary range for this position is:

€74.000 — €100.100 EUR

Wir zeigen einen Auszug und einen Link je Anzeige, und den vollen Text, wenn die Quelle es erlaubt. Genannte Marken und Logos gehören ihren Inhabern.

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung