Senior Machine Learning Expert at Clio

Join Clio as a Senior Data Scientist and lead advanced modeling and experimentation efforts. Your skills in Python and machine learning will drive strategic growth initiatives in a hybrid setting.

This backfill role involves significant collaboration with the Growth team to develop data-driven insights that inform product decisions. By building and deploying forecasting models, you will enhance Clio's understanding of customer behavior. You'll be at the forefront of innovation, applying unique statistical analysis techniques to real-world business challenges.

Key Responsibilities:

• Develop and implement end-to-end forecasting pipelines

• Optimize model accuracy with advanced techniques

• Lead A/B testing and evaluation of experiments

• Support cross-functional teams with data-driven insights

• Establish scalable event tracking frameworks

Requirements:

• 5+ years in Data Science or related fields

• Strong command of machine learning frameworks

• Proficient in statistical analysis and data mining

• Experience with product ionizing ML models

• Advanced knowledge of cloud computing services

Shape the future of data-driven growth strategies at Clio.
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