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About the Role
Applied Scientists at Wolt work with AI and machine learning for the most important processes and parts of Wolt’s online delivery platform and business operations that affect all the 30 countries we operate in. Our Applied Scientists are embedded in our product development teams, focusing on a specific area with a cross-functional team. Applied Scientists closely collaborate with Product Leads, Software Engineers, Designers, and Product Data Analysts. As an Applied Scientist, you’ll take ownership of use cases within a product development team - from identifying high-value opportunities to developing, prototyping, and deploying solutions, and ensuring they continuously improve in production. We work with a range of technologies, including Python, SQL, Snowflake, and different MLOps tools, and always strive to improve our tooling and ways of working, to support rapid experimentation and innovation.
Responsibilities
- Develop algorithms and data-driven products spanning demand and supply forecasting, causal inference, budget allocation, and optimization.
- Apply machine learning, forecasting, optimization, and statistical modeling to solve large-scale operational challenges.
- Develop insights and decision-support tools that empower Operations teams to effectively manage delivery zones and optimize marketplace performance.
- Identify high-value opportunities, develop, prototype, and deploy solutions, and ensure continuous improvement in production.
Requirements
- Passion for Applied Science and leveraging data science, machine learning and AI to drive business results.
- Expertise in building robust, scalable models suitable for large-scale deployments and managing the entire lifecycle of data science projects.
- Strong educational background and practical skills in modeling and statistics, with experience dealing with time-series data and producing reliable forecasts at scale.
- Skilled in writing production-level Python code and following engineering best practices.
- Experience reading and writing SQL.
- Ability or willingness to learn to productionalize ML solutions with ML tooling.
- Ability to effectively communicate complex technical concepts to non-technical audiences.
- Ability to break down complex business challenges into solvable machine learning problems and design data-driven solutions.
- Understanding of experimental methodologies and analysis.
- Experience in procurement and supply-chain optimization is valued.
- Knowledge of procurement and inventory management processes, especially in fresh items and retail domains, is valued.
Skills
- Data Science
- Machine Learning
- AI
- Python
- SQL
- Snowflake
- MLOps
- Forecasting
- Optimization
- Statistical Modeling
- Bayesian methods
- Experimental Design
Location
- Global
Work Type
- Full-time
Experience Level
- Mid-level
- Senior
Education Level
- Degree in a quantitative field
About the Company
- Wolt creates technology that brings joy, simplicity and earnings to neighborhoods worldwide, starting with food delivery and expanding to almost everything.
- Wolt operates in over 500 cities in 30 countries and joined forces with DoorDash in 2022.
- Working at Wolt is exciting, offering opportunities to learn, build, and ship more, with challenges and fun along the way.
- Wolt is committed to growing and empowering a more inclusive community, hiring and cultivating diverse teams.
Equal Opportunity
- We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.