Senior Data Scientist - Marketing Data Science and Analytics

Company Overview

Vinted is on a mission to make second-hand shopping the preferred choice for consumers, facilitating the buying and selling of pre-loved clothing and lifestyle items to extend the lifecycle of each product. The Vinted Group features three main business units: Vinted Marketplace, Europe's top platform for second-hand fashion and beyond across 20+ markets; Vinted Go, which optimizes shipping experiences with an extensive pickup and drop-off network partnering with over 60 carriers; and Vinted Pay, delivering secure and efficient payment solutions for transactions across Europe. Founded in Lithuania in 2008 and now a unicorn, Vinted operates from its headquarters in Vilnius along with multiple European offices, supported by over 2,000 employees.

Position Summary

Within Vinted's growing Marketing domain focused on establishing its position in new markets and expanding product categories, the Senior Data Scientist will join the Marketing Data Science and Analytics team. This role's primary responsibility is to develop, optimize, and scale core predictive and explanatory models including Bayesian Media Mix Models (MMM), user value machine learning models, and other advanced statistical frameworks. The successful candidate will create reliable, high-impact models that turn complex datasets into actionable marketing insights.

Key Responsibilities

• Develop, calibrate, and scale Bayesian Media Mix Models to enable precise marketing measurement and ROI analysis.
• Construct and maintain sophisticated econometric and statistical models such as MMM, GMV, and engagement models to quantify marketing effectiveness and support growth across channels.
• Design and implement automated validation and monitoring systems to ensure model robustness, health, and long-term accuracy.
• Lead the creation of next-generation automated data products, including self-correcting MMMs, leveraging modern AI and automation techniques to optimize performance and scalability.
• Collaborate closely with decision scientists and marketing leadership to translate complex modeling insights into understandable business actions.
• Uphold high standards for code quality, model validation, and reproducibility to maintain trust in data science practices.

Candidate Profile

• Proven experience in advanced statistical, econometric, or time-series modeling, preferably with exposure to marketing measurement and MMM.
• Strong theoretical foundation in statistics, causal inference, and regression; familiarity with probabilistic programming tools such as PyMC is highly desirable.
• Ability to interpret scientific research and apply or refine state-of-the-art methods to practical data science challenges.
• Expert Python programming skills focused on building modular, reproducible, and production-quality code for data science products.
• Deep understanding of connecting technical outputs to commercial metrics and business objectives.
• Master’s or PhD degree in a quant-heavy field such as Statistics, Econometrics, Mathematics, or Data Science.
• Effective communicator and confident presenter, skilled at bridging complex technical concepts to diverse audiences including leadership.

Benefits and Perks

• Access to a company share options program.
• 30 days of paid annual leave.
• Latest MacBook laptop provided.
• Confidential Employee Assistance Program available to employees and their families.
• Support for home office setup including IT equipment and up to €540 budget for home workspace furniture.
• Meal subsidies on workdays.
• Regular team-building activities.
• Monthly personal budget to shop on Vinted.
• Discounted gym memberships.
• Pension contributions with Vinted matching 150% of employee contributions.
• Supplemental private health insurance coverage.
• Life and disability insurance provided.
• Subsidised public transport ticket for commuting (Deutschlandticket).
• Dog-friendly office environment.

Additional Employment Information

• Flexible workation policy allowing up to 90 days remote work annually within the EU and up to 21 days globally, with special provisions for non-EU citizens.
• Annual personal learning budget starting at €3,000 and up to 10 working days over two years for professional growth.
• Hybrid work model encouraging two office days per week with flexibility on remote work.
• Commitment to equal opportunity; applications encouraged from all backgrounds even if not all criteria are fully met.

Compensation

The yearly gross salary ranges between €74,000 and €100,100 for this position.