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Senior Data Scientist - Machine Learning Operations & Analytics

FilevinePrague
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Experience Level

Senior

Qualifications

Qualifications:Proven experience in data science, machine learning, or a related field. Strong programming skills in Python or R, with a solid understanding of machine learning libraries. Experience with data analytics tools and frameworks. Exceptional problem-solving abilities and a collaborative mindset. Strong communication skills to convey complex data insights effectively.

About the job

Filevine is at the forefront of Legal AI, offering innovative Legal Operating Intelligence designed for the future of legal work. Our platform integrates data, documents, workflows, and teams into a cohesive system, ensuring clarity and consistency in modern legal operations.

Our proprietary Legal Operating Intelligence System, LOIS, revolutionizes legal operations by transforming them from reactive to proactive. LOIS comprehends, analyzes, and interprets data to uncover insights, streamline complexities, and empower legal professionals with the clarity and confidence they need to excel. Recognized by Deloitte and Inc. as one of the most innovative and rapidly expanding tech companies in the nation, Filevine thrives on the creativity and collaboration of its exceptional team.

Role Overview:
We are a group of passionate and driven problem solvers with expertise in machine learning, engineering, product management, law, and operations. Our mission is to assist attorneys in resolving cases more efficiently for improved outcomes. With two established ML teams exploring new frontiers in transcription, NLP, and GenAI applications, we are currently developing a vital analytics framework to ensure operational excellence, uphold quality standards, and foster continuous improvement across our AI systems.

About Filevine

Filevine is a pioneering company in Legal AI, dedicated to enhancing legal operations through its innovative platform. We believe in leveraging technology to create a more efficient and effective legal system.

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