Informacje o stanowisku

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.

• You have 3+ years of experience in Data Science and Machine Learning, ideally in a product or operational setting at a technology company.
• You are fluent in Python (e.g., Pandas, NumPy, scikit-learn) and proficient in SQL, capable of working with large-scale data and complex workflows.
• Hands-on experience in NLP – text classification, embeddings, transformers, chatbot development, with Large Language Models (LLMs), or experience in Forecasting and Time Series Modeling.
• 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 communicate effectively in English and can clearly articulate data-driven insights to both technical and non-technical collaborators.
• You’ve built and deployed production ML systems, including model monitoring, scaling, and impact evaluation.

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.

,[Collaborate with cross-functional teams (Data Analysts, Engineers, Product Managers, Operations, etc.) to deeply understand business challenges and deliver impactful data science solutions., Solving real-world problems by building applications using deep learning, gradient-boosted trees, Large Language Models (LLMs), time series modelling, 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., Work across a modern data stack including Python, SQL, Spark, Presto, Docker, SageMaker, and Airflow, plus internal tooling for ML training and inference., Validate and optimize solutions using Bolt’s in-house AB testing platform, ensuring measurable impact at scale., Contribute to the broader data science community at Bolt through peer review, shared tooling, and open knowledge exchange. Requirements: Python, SQL, pandas, NumPy, scikit-learn Additionally: Sport subscription, Private healthcare, Small teams, Free coffee, Bike parking, Shower, Free snacks, Free beverages, Playroom, In-house hack days, In-house trainings, Modern office, Startup atmosphere, No dress code, Free breakfast.

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