Senior Data Scientist, Delivery

Join our Delivery Data Science team build advanced models, and help shape the future of online services while improving user experiences for millions worldwide.

<strong> About us </strong>

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

<strong> About the role </strong>

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.

<strong> Main tasks and responsibilities: </strong>

• 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.

<strong> About you: </strong>

• 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.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don't tick every box, please consider applying!

<strong> Why you'll love it here: </strong>

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

* Some perks may differ depending on your location and role.

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