Applied Scientist

About Wolt

Wolt builds technology that makes everyday life easier and helps local neighborhoods and businesses earn more. The company began in 2014 with restaurant food delivery and has since grown into a platform working across more than 500 cities in 30 countries. After joining forces with DoorDash in 2022, Wolt continues to grow internationally with ambitious plans.

Life at Wolt is fast-moving and demanding, but also rewarding. Team members get the chance to learn quickly, take on meaningful work, and deliver at a pace that is uncommon in many other organizations. The environment suits people who are self-driven, motivated, and excited by building in a high-growth setting.

Team Overview

The AdTech & Promotions group develops machine learning and optimization systems that support advertising and promotions across Wolt’s marketplace. The team works on conversion modeling, retrieval, auctions, campaign optimization, forecasting, measurement, and advertiser tools, all aimed at helping merchants and brands grow while keeping the customer experience relevant. As the offering expands, the team is investing in new capabilities that combine live data, scalable infrastructure, and intuitive product experiences.

Wolt is hiring an Applied Scientist for the AdTech & Promotions team to help create reliable, high-impact ML systems that improve revenue and advertiser outcomes.

What You Will Do

• Develop and deploy machine learning and optimization systems for ads products, covering areas such as ranking, targeting, campaign optimization, forecasting, and measurement.
• Turn unclear commercial and marketplace challenges into well-defined scientific problems, meaningful success criteria, experiments, and deployable solutions.
• Work closely with engineering, product, design, analytics, and business stakeholders to shape the ads roadmap and make sure science work leads to measurable value for advertisers and the marketplace.
• Raise the quality, relevance, operational efficiency, and business performance of ads across consumer and merchant experiences.
• Offer technical guidance to the team by coaching colleagues, reviewing scientific and technical work, strengthening experimentation practices, and supporting hiring efforts.
• Share reusable approaches, insights, and methods with the wider applied science community at Wolt.

What We’re Looking For

Wolt is seeking someone who is enthusiastic about applied science and wants to use machine learning and AI to create measurable business impact.

• Solid background in ads, recommender systems, search, ranking, or optimization, ideally in large-scale consumer or marketplace environments, with experience taking models into production.
• Genuine interest in applied science and machine learning, with a strong drive to solve problems using data and AI.
• Ability to build production-ready ML solutions that are scalable, reliable, and maintainable across the full lifecycle from idea to deployment and upkeep.
• Strong understanding of machine learning and statistics, supported by relevant education and hands-on modeling experience.
• Good engineering discipline, including production-quality Python development, practical SQL knowledge, and readiness to work with ML tooling for productionization.
• Strong communication and stakeholder management skills, with the ability to explain technical ideas clearly to non-technical audiences.
• Analytical thinking with the ability to break complicated business problems into solvable ML tasks and tie model performance to business outcomes.
• Comfort with experimental design and evaluation methods to validate impact.
• Interest in using modern AI tools and agents in daily work.

What’s Offered

This role gives you the opportunity to work on complex AdTech challenges at scale, where your technical decisions can directly influence revenue and customer experience.

You will help shape and grow next-generation advertising tools and platforms that enable advertisers to create, manage, and improve campaigns across Wolt. The work is not limited to maintaining existing systems; it involves defining and scaling new capabilities in a rapidly expanding area.

Compensation is structured as total compensation, combining a competitive base salary with DoorDash RSUs.

You will join a global business working across Europe and the US, collaborating on problems that span multiple markets, use cases, and customer groups.

Along with the technical challenge, you will work with skilled engineers and leaders in a diverse international environment, helping shape systems and engineering culture while learning from others.

Diversity and Inclusion

Wolt is committed to building a more inclusive community across the company, the industry, and the cities it serves. The company hires and develops teams with diverse backgrounds, experiences, and perspectives, and believes innovation is strongest when everyone has the opportunity, support, and resources to contribute.

Additional Information

The compensation model includes a base salary plus DoorDash RSUs. No other salary or stipend details were provided.