Senior Data Scientist, Delivery

Senior Data Scientist, Delivery

Bolt

Tallinn or Berlin

About the role

You will be building models to estimate the food delivery time at various stages of the order, such as before and after the order has been accepted. You will also build complex ranking pipelines for our textual search and recommendation engines, using optimization techniques for dispatching and demand/supply balancing to minimize the delivery time of our orders.

What you can expect

Main tasks and responsibilities:

• Collaborating with cross-functional teams, including Data Analysts, Data Egineers, Product Managers, and Software Engineers, to gain a deep understanding of business needs and create end-to-end technical solutions for them.
• Deploying and validating solutions for millions of users, enabling fast feedback and measurable added value to customers.
• Rapidly deploying models to production environments using AWS and internal machine learning platforms, leveraging a toolkit that includes Python, Spark, Presto, Docker, SageMaker, and Airflow for efficient data processing and model deployment.
• Engaging in regular knowledge exchange with Data Scientists across all seniority levels, fostering a collaborative environment that promotes learning and innovation.
• Solving real-world problems on a wide variety of tasks, such as ranking, textual search, recommendation, user clustering, pricing, delivery time estimation, dispatching, and demand/supply balancing.
• Applying the most advanced techniques, such as deep learning, gradient boosting, causal inference, mathematical optimization, dimensionality reduction, time series forecasting, and more.

What we expect

About you:

• You have 5 years of experience in Data Science and Machine Learning, ideally in product development within a technology-focused company.
• You’re skilled in Python programming, leveraging key libraries such as Pandas, NumPy, scikit-learn, and OR-tools for data analysis and modelling, with practical experience in statistical hypothesis testing that allows you to independently identify problems, explore trends, and discover opportunities through data-driven methods.
• You have a proactive mindset, a willingness to take initiative and work with little supervision, and enthusiasm for collaborating with different roles in product, analytics, and engineering to identify problems, explore trends, and discover growth opportunities.
• You exhibit excellent teamwork and strong communication skills in English, both verbal and written, enabling clear collaboration and knowledge-sharing.
• You have hands-on experience in building ML systems from end to end, including testing, monitoring, scaling, and measuring the impact.

Apply Now