Data Scientist, Tools & Workflows

We are looking for an experienced Data Scientist to join our Tools & Workflows team. The team handles the tooling around providing support to our customers across diverse markets and customer personas. 

About us

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!

About the role

Tools & Workflows (T&W) team is responsible for optimising different workflows in Bolt. The data science projects inside the T&W team span from developing models to be able to classify users’ issues and intents, building tooling to improve support agent efficiency and effectiveness, and creating intelligent chatbots capable of providing instant, automated resolutions to customer issues.

Main tasks and responsibilities:

• Collaborating with cross-functional teams (Data Analysts, Engineers, Product Managers, etc.), to gain a deep understanding of business needs and deliver impactful technical solutions.
• Solving real-world problems by building applications using deep learning & transformers, gradient-boosted trees, Large Language Models (LLMs), and other advanced techniques.
• Handling the entire lifecycle from exploratory queries and notebook prototypes to a working machine learning model or other automation that might be serving thousands of calls per second in production
• 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.
• Validating your solutions through rigorous experimentation on millions of users using our dedicated AB testing platform.
• Engaging in a knowledge exchange with Data Scientists across all seniority levels, fostering a collaborative environment that promotes learning and innovation.

About you:

• You have 3 years of experience in Data Science and Machine Learning, ideally in product development within a technology-focused company.
• You are proficient in Python (e.g., Pandas, NumPy, scikit-learn) for data analysis and modelling, and skilled in SQL for complex queries.
• You have hands-on experience with Natural Language Processing and some understanding of Large Language Models (LLMs).
• 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 well-coordinated teamwork and good communication skills in English, both verbal and written, enabling clear collaboration and knowledge-sharing.
• You have some hands-on experience in building ML systems end-to-end, including testing, monitoring, scaling, and measuring and validating the impact through experimentation and statistical hypothesis testing.

You will receive extra credit for product development experience in a technology company, experience with the development and production of LLM applications, experience with transformers and other NLP in production, familiarity with cloud systems (AWS, Azure, Google App Engine), or for holding a Ph.D. in a quantitative field. 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!

Why you’ll love it here:

• 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 2 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.

#LI-Hybrid