Informacje o stanowisku

As a Data Scientist, you will join a dynamic team dedicated to enhancing highly successful legal products. We are seeking a candidate with a proven track record in machine learning and a strong drive for growth and continuous learning in ML/AI.

Be part of shaping the future of innovation in legal technology!

• Minimum 4 years of experience in information retrieval or text summarization, experience in NLP (Natural Language Processing)
• Strong proficiency in Python, including code review, unit testing, and working with a large codebase
• Experience with AWS
• Documented experience in machine learning/artificial intelligence, with the ability to work independently and collaborate with stakeholders to define problems effectively
• Strong analytical skills and a results-oriented mindset, designing and conducting experiments efficiently to answer empirical questions
• Fluent communication in English

As a Data Scientist, you will join a dynamic team dedicated to enhancing highly successful legal products. We are seeking a candidate with a proven track record in machine learning and a strong drive for growth and continuous learning in ML/AI.

Be part of shaping the future of innovation in legal technology!

,[Driving the end-to-end model development lifecycle, ensuring best practices for reproducible research and well-managed software delivery, Working in a collaborative, cross-functional team, sharing information, valuing diverse ideas, and partnering effectively with global colleagues, Translating complex business problems into projects with clearly defined scope, ensuring timely and well-managed deliverables in a fast-paced environment, Fostering innovative ideas to solve real-world challenges, Communicating proactively, sharing work effectively, and describing ideas compellingly to both technical and non-technical audiences, Leading AI adoption across the enterprise Requirements: Python, NLP, Natural language processing, AWS, Machine learning, Analytical skills, LLP Additionally: Sport subscription, Training budget, Private healthcare, Small teams, Free coffee, Free breakfast, No dress code.

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