Data Scientist, Tools & Workflows

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Bolt

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.

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.

Don't forget to mention EuroTechJobs when applying.

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